Computer Vision Techniques in Construction: A Critical Review

Computer vision has been gaining interest in a wide range of research areas in recent years, from medical to industrial robotics. The architecture, engineering and construction and facility management sector ranks as one of the most intensive fields where vision-based systems/methods are used to fac...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Archives of computational methods in engineering Ročník 28; číslo 5; s. 3383 - 3397
Hlavní autori:	Xu, Shuyuan, Wang, Jun, Shou, Wenchi, Ngo, Tuan, Sadick, Abdul-Manan, Wang, Xiangyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.08.2021 Springer Nature B.V
Predmet:	Clutter Computer vision Construction sites Decision making Engineering Facilities management Industrial robots Manufacturing engineering Mathematical and Computational Engineering Medical research Original Paper Robotics Vision systems
ISSN:	1134-3060, 1886-1784
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	Computer vision has been gaining interest in a wide range of research areas in recent years, from medical to industrial robotics. The architecture, engineering and construction and facility management sector ranks as one of the most intensive fields where vision-based systems/methods are used to facilitate decision making processes during the construction phase. Construction sites make efficient monitoring extremely tedious and difficult due to clutter and disorder. Extensive research has been carried out to investigate the potential to utilise computer vision for assisting on-site managerial tasks. This paper reviews studies on computer vision in the past decade, with a focus on state-of-the-art methods in a typical vision-based scheme, and discusses challenges associated with their application. This research aims to guide practitioners to successfully find suitable approaches for a particular project.
AbstractList	Computer vision has been gaining interest in a wide range of research areas in recent years, from medical to industrial robotics. The architecture, engineering and construction and facility management sector ranks as one of the most intensive fields where vision-based systems/methods are used to facilitate decision making processes during the construction phase. Construction sites make efficient monitoring extremely tedious and difficult due to clutter and disorder. Extensive research has been carried out to investigate the potential to utilise computer vision for assisting on-site managerial tasks. This paper reviews studies on computer vision in the past decade, with a focus on state-of-the-art methods in a typical vision-based scheme, and discusses challenges associated with their application. This research aims to guide practitioners to successfully find suitable approaches for a particular project.
Author	Shou, Wenchi Wang, Xiangyu Wang, Jun Xu, Shuyuan Sadick, Abdul-Manan Ngo, Tuan
Author_xml	– sequence: 1 givenname: Shuyuan surname: Xu fullname: Xu, Shuyuan organization: School of Design and the Built Environment, Curtin University – sequence: 2 givenname: Jun orcidid: 0000-0003-3384-4050 surname: Wang fullname: Wang, Jun email: jun.wang1@deakin.edu.au organization: School of Architecture and Built Environment, Deakin University – sequence: 3 givenname: Wenchi surname: Shou fullname: Shou, Wenchi organization: School of Computing, Engineering and Mathematics, Western Sydney University – sequence: 4 givenname: Tuan surname: Ngo fullname: Ngo, Tuan organization: Department of Infrastructure Engineering, The University of Melbourne – sequence: 5 givenname: Abdul-Manan surname: Sadick fullname: Sadick, Abdul-Manan organization: School of Architecture and Built Environment, Deakin University – sequence: 6 givenname: Xiangyu surname: Wang fullname: Wang, Xiangyu email: xiangyu.wang@curtin.edu.au organization: School of Civil Engineering and Architecture, East China Jiaotong University, Australasian Joint Research Centre for Building Information Modelling, Curtin University
BookMark	eNp9kE9LAzEQxYNUsK1-AU8Lnldnkt0mETyUxX8gCFK9huxuVlPabE2yit_e1AqCh55mmHm_mcebkJHrnSHkFOEcAfhFQBQMc6CQgyyhyNkBGaMQsxy5KEapR5aGMIMjMglhCVAWUtIxuar69WaIxmcvNtjeZQvTvDn7PpiQWZdVvQvRD01Mq8tsnlXeRtvoVfZkPqz5PCaHnV4Fc_Jbp-T55npR3eUPj7f31fwhbxjKmBf1rONFV1PNJG9Fi5pjDZxyCZTVAgvGpe6Q8xJbI6FusKXQMgYUO8ER2JSc7e5ufL-1FtWyH7xLLxUtS4HAZSGTSuxUje9D8KZTjY16az16bVcKQW3DUruwVApL_YSlWELpP3Tj7Vr7r_0Q20Ehid2r8X-u9lDf-9l8MA
CitedBy_id	crossref_primary_10_3390_s24092816 crossref_primary_10_1016_j_procs_2025_04_406 crossref_primary_10_1371_journal_pone_0273048 crossref_primary_10_1016_j_indcrop_2025_121592 crossref_primary_10_1016_j_autcon_2021_104059 crossref_primary_10_1016_j_autcon_2022_104697 crossref_primary_10_1016_j_engappai_2024_107857 crossref_primary_10_1080_23311983_2023_2247650 crossref_primary_10_3390_s24041220 crossref_primary_10_1155_2021_1473917 crossref_primary_10_1038_s41598_024_81231_2 crossref_primary_10_1007_s10462_024_10839_7 crossref_primary_10_1007_s10664_024_10521_0 crossref_primary_10_1016_j_matpr_2023_06_031 crossref_primary_10_1108_ECAM_07_2023_0705 crossref_primary_10_1088_1361_6501_ad41fe crossref_primary_10_3390_buildings14123930 crossref_primary_10_1002_admt_202401724 crossref_primary_10_1371_journal_pone_0314806 crossref_primary_10_1016_j_enbuild_2023_113507 crossref_primary_10_1108_CI_04_2023_0062 crossref_primary_10_36680_j_itcon_2025_038 crossref_primary_10_1155_2022_4202181 crossref_primary_10_1155_2022_7267099 crossref_primary_10_3390_s21165439 crossref_primary_10_1016_j_compscitech_2022_109425 crossref_primary_10_3390_rs14225845 crossref_primary_10_1186_s13638_021_01984_6 crossref_primary_10_1088_1755_1315_1101_7_072002 crossref_primary_10_3390_app13169146 crossref_primary_10_1016_j_asoc_2025_113374 crossref_primary_10_1016_j_autcon_2022_104435 crossref_primary_10_1016_j_autcon_2022_104312 crossref_primary_10_1016_j_inffus_2022_12_012 crossref_primary_10_3390_jmmp8050218 crossref_primary_10_1155_2022_8771650 crossref_primary_10_1016_j_cscm_2024_e03676 crossref_primary_10_1007_s11042_024_20161_7 crossref_primary_10_1007_s00366_021_01288_9 crossref_primary_10_1186_s12903_023_03142_4 crossref_primary_10_1016_j_autcon_2024_105451 crossref_primary_10_1016_j_scitotenv_2024_171556 crossref_primary_10_3390_buildings13061479 crossref_primary_10_3390_buildings14071929 crossref_primary_10_1109_JSEN_2023_3303012 crossref_primary_10_1016_j_autcon_2023_104980 crossref_primary_10_1016_j_autcon_2024_105696 crossref_primary_10_1016_j_inffus_2023_102161 crossref_primary_10_1016_j_aei_2022_101699 crossref_primary_10_1155_2023_2025844 crossref_primary_10_1016_j_iopt_2025_100003 crossref_primary_10_1142_S021812662550152X crossref_primary_10_1007_s11042_023_14434_w crossref_primary_10_1109_TIV_2024_3350669 crossref_primary_10_1016_j_engappai_2025_111506 crossref_primary_10_1080_23311916_2022_2050020 crossref_primary_10_3390_buildings14082499 crossref_primary_10_1016_j_jksuci_2024_102161 crossref_primary_10_1016_j_eswa_2021_115747 crossref_primary_10_3390_app11198902 crossref_primary_10_1016_j_measurement_2023_113459 crossref_primary_10_1016_j_autcon_2025_106432 crossref_primary_10_1155_2022_2154463 crossref_primary_10_1007_s00500_021_05839_6 crossref_primary_10_1108_ECAM_01_2024_0144 crossref_primary_10_1061_JCCEE5_CPENG_5473 crossref_primary_10_3390_en14041196 crossref_primary_10_1016_j_chb_2024_108407 crossref_primary_10_1002_aps3_11559 crossref_primary_10_1016_j_jobe_2023_107155 crossref_primary_10_1007_s00366_021_01289_8 crossref_primary_10_1108_ECAM_07_2024_0875 crossref_primary_10_3390_jmse12050842 crossref_primary_10_1088_1755_1315_1124_1_012004 crossref_primary_10_1016_j_autcon_2022_104148 crossref_primary_10_1080_15389588_2023_2173522 crossref_primary_10_1061_JAEIED_AEENG_1979 crossref_primary_10_1080_10803548_2025_2543150 crossref_primary_10_3390_buildings13041066 crossref_primary_10_3390_buildings12050651 crossref_primary_10_1038_s41528_023_00264_1 crossref_primary_10_1016_j_autcon_2025_106412 crossref_primary_10_1007_s00366_021_01440_5 crossref_primary_10_1007_s41019_023_00217_8 crossref_primary_10_1016_j_autcon_2024_105483 crossref_primary_10_1016_j_autcon_2023_105083 crossref_primary_10_1109_ACCESS_2025_3534411 crossref_primary_10_1016_j_procs_2023_11_023 crossref_primary_10_1007_s43926_025_00092_x crossref_primary_10_1108_JEIM_01_2021_0057 crossref_primary_10_1007_s00366_021_01388_6 crossref_primary_10_3390_rs14225655 crossref_primary_10_1007_s00366_021_01320_y crossref_primary_10_1016_j_ssci_2022_105958 crossref_primary_10_1016_j_bspc_2025_108293 crossref_primary_10_3233_XST_240083 crossref_primary_10_3390_buildings12050667 crossref_primary_10_1080_17455030_2021_1948627 crossref_primary_10_1002_rob_22542 crossref_primary_10_1016_j_autcon_2023_105195 crossref_primary_10_1016_j_jbef_2023_100851 crossref_primary_10_1016_j_autcon_2024_105933 crossref_primary_10_1007_s44362_024_00001_2 crossref_primary_10_3389_fbuil_2021_640732 crossref_primary_10_1007_s00366_021_01282_1 crossref_primary_10_1016_j_autcon_2022_104367 crossref_primary_10_3390_s23218740 crossref_primary_10_1007_s00366_021_01377_9 crossref_primary_10_1109_ACCESS_2024_3479988 crossref_primary_10_3390_land13020181 crossref_primary_10_1088_1758_5090_ad8966 crossref_primary_10_1007_s00366_020_01277_4 crossref_primary_10_1155_int_1561380 crossref_primary_10_2118_211804_PA crossref_primary_10_3390_s22010260 crossref_primary_10_1016_j_aei_2025_103296 crossref_primary_10_3390_a17030109 crossref_primary_10_1016_j_tourman_2023_104798 crossref_primary_10_1155_2021_8130378 crossref_primary_10_3390_app121910097 crossref_primary_10_1016_j_autcon_2025_106510 crossref_primary_10_1007_s42243_024_01198_2 crossref_primary_10_3390_en17061381 crossref_primary_10_3389_fbuil_2025_1655847 crossref_primary_10_1016_j_engappai_2024_109401 crossref_primary_10_3390_modelling5030066 crossref_primary_10_1016_j_patcog_2023_109669 crossref_primary_10_3390_biomedicines11010184 crossref_primary_10_3390_ma15082864 crossref_primary_10_1111_mice_13452 crossref_primary_10_3390_buildings15162899 crossref_primary_10_1016_j_jclepro_2025_145101 crossref_primary_10_1016_j_tsep_2024_103205 crossref_primary_10_1145_3705893 crossref_primary_10_1007_s11831_024_10140_4 crossref_primary_10_1016_j_conbuildmat_2024_137385 crossref_primary_10_1016_j_cscm_2023_e02378 crossref_primary_10_1140_epje_s10189_023_00290_x crossref_primary_10_1016_j_jobe_2025_113748 crossref_primary_10_1007_s00366_021_01442_3 crossref_primary_10_3390_rs16132445 crossref_primary_10_1016_j_autcon_2024_105718 crossref_primary_10_3390_buildings12030374 crossref_primary_10_1155_2021_6636955 crossref_primary_10_1007_s00170_024_13689_3 crossref_primary_10_1007_s00366_020_01228_z crossref_primary_10_1038_s41598_023_40110_y crossref_primary_10_1016_j_clema_2023_100215 crossref_primary_10_3390_app15073991 crossref_primary_10_1007_s13349_025_00977_z crossref_primary_10_1016_j_conbuildmat_2022_127650 crossref_primary_10_1016_j_procs_2024_11_132 crossref_primary_10_1109_TDSC_2022_3151103 crossref_primary_10_1016_j_autcon_2024_105615 crossref_primary_10_3390_s22041476 crossref_primary_10_3390_heritage6080301 crossref_primary_10_1145_3628448 crossref_primary_10_3390_app11073152 crossref_primary_10_1111_jfpe_14425 crossref_primary_10_1007_s10973_021_10748_9 crossref_primary_10_3390_su13042336 crossref_primary_10_1007_s42979_023_02152_x crossref_primary_10_3390_buildings12010065 crossref_primary_10_3390_s25010059 crossref_primary_10_1007_s00366_021_01420_9 crossref_primary_10_1016_j_tsep_2025_103264 crossref_primary_10_1080_15397734_2020_1867573 crossref_primary_10_3390_buildings13051147 crossref_primary_10_1061_JCCEE5_CPENG_5990 crossref_primary_10_1155_2022_1756357 crossref_primary_10_3390_buildings12030350 crossref_primary_10_1007_s00521_024_10739_5 crossref_primary_10_3390_electronics12173567 crossref_primary_10_3390_app14156786 crossref_primary_10_1109_TNB_2023_3283049 crossref_primary_10_2196_55591 crossref_primary_10_3389_feart_2021_663678 crossref_primary_10_1155_2022_5068340 crossref_primary_10_1007_s10845_023_02143_y crossref_primary_10_1061_JLADAH_LADR_1273 crossref_primary_10_1016_j_asoc_2024_112370 crossref_primary_10_1016_j_jafr_2025_102251 crossref_primary_10_1016_j_aei_2025_103305 crossref_primary_10_1016_j_autcon_2021_104119 crossref_primary_10_1088_3049_4761_adce0d crossref_primary_10_1016_j_knosys_2025_114371 crossref_primary_10_1088_1742_6596_2647_23_232007 crossref_primary_10_1088_1742_6596_2665_1_012018 crossref_primary_10_1007_s40996_022_00898_7 crossref_primary_10_1016_j_conbuildmat_2021_126297 crossref_primary_10_1155_2021_9988803 crossref_primary_10_1016_j_inffus_2023_102136 crossref_primary_10_1016_j_ijmultiphaseflow_2022_104133 crossref_primary_10_1108_ECAM_10_2023_1013 crossref_primary_10_1109_ACCESS_2024_3389295 crossref_primary_10_3390_en17010182 crossref_primary_10_1186_s43065_023_00071_y crossref_primary_10_1038_s41598_024_65540_0 crossref_primary_10_1108_ECAM_03_2024_0385 crossref_primary_10_1007_s10825_021_01726_3 crossref_primary_10_1155_2021_5598267 crossref_primary_10_1016_j_compbiomed_2024_109183 crossref_primary_10_1016_j_autcon_2024_105771 crossref_primary_10_1016_j_autcon_2024_105890 crossref_primary_10_1007_s11831_022_09830_8 crossref_primary_10_1007_s00366_021_01479_4 crossref_primary_10_3390_s24010095 crossref_primary_10_1007_s40831_025_01172_6 crossref_primary_10_3389_fonc_2024_1335740 crossref_primary_10_3390_s21248307 crossref_primary_10_3390_agronomy15010242 crossref_primary_10_1007_s12596_023_01304_9
Cites_doi	10.1061/(ASCE)CO.1943-7862.0001508 10.1061/(ASCE)CO.1943-7862.0000652 10.1016/j.autcon.2017.11.002 10.1016/j.autcon.2013.05.001 10.1016/j.autcon.2017.12.034 10.1061/(ASCE)CO.1943-7862.0000974 10.1016/j.aei.2018.08.005 10.1061/(ASCE)CP.1943-5487.0000199 10.1061/(ASCE)CO.1943-7862.0001497 10.1061/(ASCE)0887-3801(2009)23:6(391) 10.1016/j.autcon.2014.08.010 10.1016/j.autcon.2012.11.041 10.1016/j.aei.2008.07.002 10.1061/(ASCE)CP.1943-5487.0000507 10.1061/(ASCE)CP.1943-5487.0000693 10.1109/ICCV.1999.790410 10.1061/(ASCE)CP.1943-5487.0000027 10.1016/j.autcon.2016.12.001 10.1016/j.autcon.2012.12.002 10.1061/(ASCE)CP.1943-5487.0000573 10.1111/j.1467-8667.2010.00690.x 10.1016/j.autcon.2017.06.023 10.1016/j.autcon.2018.10.009 10.1016/j.autcon.2011.03.007 10.1016/j.aei.2018.06.001 10.1007/11744023_34 10.1061/(ASCE)0887-3801(2010)24:1(56) 10.1016/j.autcon.2010.11.003 10.1016/j.autcon.2016.11.004 10.1016/j.autcon.2018.07.011 10.1061/(ASCE)CP.1943-5487.0000731 10.1061/(ASCE)CO.1943-7862.0000979 10.1061/(ASCE)CO.1943-7862.0000371 10.1061/(ASCE)CP.1943-5487.0000400 10.1061/(ASCE)CP.1943-5487.0000738 10.1016/j.autcon.2018.06.007 10.1016/j.autcon.2018.05.006 10.1061/(ASCE)ME.1943-5479.0000528 10.1016/j.autcon.2010.07.003 10.1061/(ASCE)CO.1943-7862.0000438 10.1061/(ASCE)CP.1943-5487.0000205 10.1061/(ASCE)CP.1943-5487.0000168 10.1061/(ASCE)CP.1943-5487.0000677 10.1061/(ASCE)CP.1943-5487.0000698 10.1016/j.aei.2015.10.006 10.1061/(ASCE)CP.1943-5487.0000605 10.1016/j.autcon.2017.09.021 10.1016/j.aei.2015.02.001 10.1016/j.compind.2018.03.037 10.1061/(ASCE)CP.1943-5487.0000242 10.1016/j.autcon.2018.01.003 10.1016/j.aei.2016.04.009 10.1016/j.autcon.2011.05.005 10.1109/34.1000236 10.1016/j.aei.2015.03.006 10.1016/j.autcon.2018.05.022 10.1061/(ASCE)CP.1943-5487.0000756 10.1061/(ASCE)CO.1943-7862.0001428 10.1111/mice.12235 10.1016/j.autcon.2014.08.003 10.1016/j.autcon.2012.06.001 10.1061/(ASCE)CP.1943-5487.0000562 10.1016/j.autcon.2015.10.002 10.1061/(ASCE)CP.1943-5487.0000339 10.1061/(ASCE)CP.1943-5487.0000602 10.1016/j.aei.2018.05.003 10.1016/j.autcon.2018.11.009 10.1111/mice.12293 10.1016/j.autcon.2015.02.007 10.1109/TPAMI.2003.1195991 10.1016/j.autcon.2017.08.031 10.1061/(ASCE)CP.1943-5487.0000332 10.1061/(ASCE)CP.1943-5487.0000141 10.1061/(ASCE)CP.1943-5487.0000179 10.1016/j.autcon.2018.11.026 10.1016/j.autcon.2017.09.018 10.1023/A:1007963824710 10.1016/j.autcon.2013.08.007 10.1016/j.aei.2011.06.002 10.1016/j.autcon.2017.10.033 10.1061/(ASCE)CP.1943-5487.0000073 10.1016/j.autcon.2016.11.009 10.1061/(ASCE)CP.1943-5487.0000071 10.1016/j.autcon.2009.12.012 10.1016/j.autcon.2012.03.003 10.1061/(ASCE)CP.1943-5487.0000423 10.1016/j.aei.2011.01.003 10.1016/j.autcon.2017.06.014 10.1016/j.autcon.2015.04.009 10.1016/j.autcon.2016.08.018 10.1061/(ASCE)CP.1943-5487.0000813 10.1016/j.autcon.2014.07.010 10.1111/mice.12419 10.1061/(ASCE)CO.1943-7862.0000655 10.1061/(ASCE)CO.1943-7862.0000629 10.1111/mice.12306 10.1016/j.aei.2013.09.001 10.1061/(ASCE)CP.1943-5487.0000783 10.1061/(ASCE)CO.1943-7862.0001010 10.5244/C.2.23 10.1016/j.autcon.2018.02.018 10.1061/(ASCE)ME.1943-5479.0000061 10.1016/j.autcon.2014.06.003 10.1016/j.autcon.2017.12.016 10.1016/j.autcon.2011.10.003 10.1016/j.autcon.2008.09.004 10.1016/j.aei.2013.11.002 10.1061/(ASCE)ME.1943-5479.0000422 10.1016/j.autcon.2016.08.039 10.1061/(ASCE)CP.1943-5487.0000392 10.1016/j.autcon.2018.12.014 10.1016/j.aei.2015.01.011 10.1061/(ASCE)CP.1943-5487.0000381 10.1016/j.autcon.2010.03.003 10.1016/j.autcon.2016.04.009 10.1016/j.autcon.2018.11.017 10.1061/(ASCE)CP.1943-5487.0000279 10.1061/(ASCE)CO.1943-7862.0000287 10.1016/j.autcon.2018.05.033 10.1061/(ASCE)CP.1943-5487.0000628
ContentType	Journal Article
Copyright	CIMNE, Barcelona, Spain 2020 CIMNE, Barcelona, Spain 2020.
Copyright_xml	– notice: CIMNE, Barcelona, Spain 2020 – notice: CIMNE, Barcelona, Spain 2020.
DBID	AAYXX CITATION JQ2
DOI	10.1007/s11831-020-09504-3
DatabaseName	CrossRef ProQuest Computer Science Collection
DatabaseTitle	CrossRef ProQuest Computer Science Collection
DatabaseTitleList	ProQuest Computer Science Collection
DeliveryMethod	fulltext_linktorsrc
Discipline	Applied Sciences Engineering
EISSN	1886-1784
EndPage	3397
ExternalDocumentID	10_1007_s11831_020_09504_3
GrantInformation_xml	– fundername: Australian Research Council grantid: LP180100222
GroupedDBID	-5B -5G -BR -EM -Y2 -~C -~X .4S .86 .DC .VR 06D 0R~ 0VY 1N0 1SB 203 23M 28- 29~ 2J2 2JN 2JY 2KG 2KM 2LR 2VQ 2~H 30V 3V. 4.4 406 408 40D 40E 5GY 5VS 67Z 6NX 7WY 8FE 8FG 8FL 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABDZT ABECU ABFTV ABHQN ABJCF ABJNI ABJOX ABKCH ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADMLS ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFEXP AFGCZ AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARCEE ARCSS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN AZQEC B-. BA0 BBWZM BDATZ BENPR BEZIV BGLVJ BGNMA BPHCQ CAG CCPQU COF CS3 CSCUP DDRTE DNIVK DPUIP DWQXO EBLON EBS EDO EIOEI EJD ESBYG FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRNLG FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 GROUPED_ABI_INFORM_COMPLETE H13 HCIFZ HF~ HG5 HG6 HMJXF HRMNR HVGLF HZ~ I-F IJ- IKXTQ IWAJR IXC IXD IXE IZQ I~X I~Z J-C J0Z JBSCW K60 K6V K6~ K7- KDC KOV L6V LLZTM M0C M0N M4Y M7S MA- MK~ N2Q NB0 NDZJH NF0 NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM P19 P2P P62 P9P PF0 PQBIZ PQBZA PQQKQ PROAC PT4 PT5 PTHSS QOK QOS R4E R89 R9I RHV RNI RNS ROL RPX RSV RZK S16 S1Z S26 S27 S28 S3B SAP SCLPG SCV SDH SDM SEG SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TSG TSK TSV TUC TUS U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W48 WK8 YLTOR Z45 Z5O Z7R Z7X Z7Y Z7Z Z83 Z88 ZMTXR _50 ~EX AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG AEZWR AFDZB AFFHD AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION JZLTJ PHGZM PHGZT PQGLB JQ2
ID	FETCH-LOGICAL-c319t-4b6f74fb2a397d8d1a71b07279023b814379af17751de90bc1d20d33021f87103
IEDL.DBID	RSV
ISICitedReferencesCount	271
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000579701700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1134-3060
IngestDate	Mon Oct 06 16:34:17 EDT 2025 Sat Nov 29 06:21:46 EST 2025 Tue Nov 18 22:32:58 EST 2025 Fri Feb 21 02:47:55 EST 2025
IsPeerReviewed	true
IsScholarly	true
Issue	5
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c319t-4b6f74fb2a397d8d1a71b07279023b814379af17751de90bc1d20d33021f87103
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0003-3384-4050
PQID	2558107949
PQPubID	1486352
PageCount	15
ParticipantIDs	proquest_journals_2558107949 crossref_citationtrail_10_1007_s11831_020_09504_3 crossref_primary_10_1007_s11831_020_09504_3 springer_journals_10_1007_s11831_020_09504_3
PublicationCentury	2000
PublicationDate	2021-08-01
PublicationDateYYYYMMDD	2021-08-01
PublicationDate_xml	– month: 08 year: 2021 text: 2021-08-01 day: 01
PublicationDecade	2020
PublicationPlace	Dordrecht
PublicationPlace_xml	– name: Dordrecht
PublicationSubtitle	State of the Art Reviews
PublicationTitle	Archives of computational methods in engineering
PublicationTitleAbbrev	Arch Computat Methods Eng
PublicationYear	2021
Publisher	Springer Netherlands Springer Nature B.V
Publisher_xml	– name: Springer Netherlands – name: Springer Nature B.V
References	FangWAutomated detection of workers and heavy equipment on construction sites: a convolutional neural network approachAdv Eng Inform20183713914910.1016/j.aei.2018.05.003 ParkM-WMakhmalbafABrilakisIComparative study of vision tracking methods for tracking of construction site resourcesAutom Constr201120790591510.1016/j.autcon.2011.03.007 WuHZhaoJAn intelligent vision-based approach for helmet identification for work safetyComput Ind201810026727710.1016/j.compind.2018.03.037 XiaoBZhuZTwo-dimensional visual tracking in construction scenarios: a comparative studyJ Comput Civ Eng20183230401800610.1061/(ASCE)CP.1943-5487.0000738 PučkoZŠumanNReboljDAutomated continuous construction progress monitoring using multiple workplace real time 3D scansAdv Eng Inform201838274010.1016/j.aei.2018.06.001 RaySJTeizerJComputing 3D blind spots of construction equipment: implementation and evaluation of an automated measurement and visualization method utilizing range point cloud dataAutom Constr2013369510710.1016/j.autcon.2013.08.007 WangCChoYKSmart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloudAutom Constr20154923924910.1016/j.autcon.2014.06.003 BüglerMFusion of photogrammetry and video analysis for productivity assessment of earthwork processesComput Aided Civ Infrastruct Eng201732210712310.1111/mice.12235 WangZLiHZhangXConstruction waste recycling robot for nails and screws: computer vision technology and neural network approachAutom Constr20199722022810.1016/j.autcon.2018.11.009 SoltaniMMZhuZHammadASkeleton estimation of excavator by detecting its partsAutom Constr20178211510.1016/j.autcon.2017.06.023 AzarERSemantic annotation of videos from equipment-intensive construction operations by shot recognition and probabilistic reasoningJ Comput Civ Eng20173150401704210.1061/(ASCE)CP.1943-5487.0000693 TeizerJStatus quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sitesAdv Eng Inform2015292225238341186610.1016/j.aei.2015.03.006 HanSLeeSPeña-MoraFComparative study of motion features for similarity-based modeling and classification of unsafe actions in constructionJ Comput Civ Eng2014285A401400510.1061/(ASCE)CP.1943-5487.0000339 SonHKimCKimCAutomated color model–based concrete detection in construction-site images by using machine learning algorithmsJ Comput Civ Eng201226342143310.1061/(ASCE)CP.1943-5487.0000141 HanKDegolJGolparvar-FardMGeometry- and appearance-based reasoning of construction progress monitoringJ Constr Eng Manag201814420401711010.1061/(ASCE)CO.1943-7862.0001428 DimitrovAGolparvar-FardMVision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collectionsAdv Eng Inform2014281374910.1016/j.aei.2013.11.002 HanSLeeSA vision-based motion capture and recognition framework for behavior-based safety managementAutom Constr20133513114110.1016/j.autcon.2013.05.001 GongJCaldasCHGordonCLearning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network modelsAdv Eng Inform201125477178210.1016/j.aei.2011.06.002 SonHKimC3D structural component recognition and modeling method using color and 3D data for construction progress monitoringAutom Constr201019784485410.1016/j.autcon.2010.03.003 ComaniciuDRameshVMeerPKernel-based object trackingIEEE Trans Pattern Anal Mach Intell2003556457510.1109/TPAMI.2003.1195991 ChenJFangYChoYKPerformance evaluation of 3D descriptors for object recognition in construction applicationsAutom Constr201886445210.1016/j.autcon.2017.10.033 ZhuZRenXChenZVisual tracking of construction jobsite workforce and equipment with particle filteringJ Comput Civ Eng20163060401602310.1061/(ASCE)CP.1943-5487.0000573 RauschCOptimum assembly planning for modular construction componentsJ Comput Civ Eng20173110401603910.1061/(ASCE)CP.1943-5487.0000605 Bouguet J-Y (2004) Camera Calibration Toolbox for Matlab. http://www.vision.caltech.edu/bouguetj/calib_doc/. Accessed 15 Nov 2019 TangPHuberDAkinciBCharacterization of laser scanners and algorithms for detecting flatness defects on concrete surfacesJ Comput Civ Eng2011251314210.1061/(ASCE)CP.1943-5487.0000073 Sobel I, Feldman G (1968) A 3 × 3 isotropic gradient operator for image processing. Pattern Classif Scene Anal 271–272 ShahandashtiSMData-fusion approaches and applications for construction engineeringJ Constr Eng Manag20111371086386910.1061/(ASCE)CO.1943-7862.0000287 ChoYKGaiMProjection-recognition-projection method for automatic object recognition and registration for dynamic heavy equipment operationsJ Comput Civ Eng2014285A401400210.1061/(ASCE)CP.1943-5487.0000332 ParkM-WBrilakisIConstruction worker detection in video frames for initializing vision trackersAutom Constr201228152510.1016/j.autcon.2012.06.001 KimHKimKKimHVision-based object-centric safety assessment using fuzzy inference: monitoring struck-by accidents with moving objectsJ Comput Civ Eng20163040401507510.1061/(ASCE)CP.1943-5487.0000562 ZhangHYanXLiHErgonomic posture recognition using 3D view-invariant features from single ordinary cameraAutom Constr20189411010.1016/j.autcon.2018.05.033 IbrahimYMTowards automated progress assessment of workpackage components in construction projects using computer visionAdv Eng Inform200923193103252690310.1016/j.aei.2008.07.002 DingLA deep hybrid learning model to detect unsafe behavior: integrating convolution neural networks and long short-term memoryAutom Constr20188611812410.1016/j.autcon.2017.11.002 HuiLParkM-WBrilakisIAutomated brick counting for façade construction progress estimationJ Comput Civ Eng20152960401409110.1061/(ASCE)CP.1943-5487.0000423 Golparvar-FardMVisualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographsJ Comput Civ Eng200923639140410.1061/(ASCE)0887-3801(2009)23:6(391) ZhuZDavariKComparison of local visual feature detectors and descriptors for the registration of 3D building scenesJ Comput Civ Eng20152950401407110.1061/(ASCE)CP.1943-5487.0000381 SharifM-MAutomated model-based finding of 3D objects in cluttered construction point cloud modelsComput Aided Civ Infrastruct Eng2017321189390810.1111/mice.12306 MemarzadehMGolparvar-FardMNieblesJCAutomated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colorsAutom Constr201332243710.1016/j.autcon.2012.12.002 ChenHA proactive workers’ safety risk evaluation framework based on position and posture data fusionAutom Constr20199827528810.1016/j.autcon.2018.11.026 ReboljDPoint cloud quality requirements for Scan-vs-BIM based automated construction progress monitoringAutom Constr20178432333410.1016/j.autcon.2017.09.021 AzarERConstruction equipment identification using marker-based recognition and an active zoom cameraJ Comput Civ Eng20163030401503310.1061/(ASCE)CP.1943-5487.0000507 Golparvar-FardMPeña-MoraFSavareseSD4AR–a 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing and communicationJ Inf Technol Constr20091413129153 KimM-KA framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanningAutom Constr20154922523810.1016/j.autcon.2014.07.010 BaiYHuanJKimSMeasuring bridge construction efficiency using the wireless real-time video monitoring systemJ Manag Eng201228212012610.1061/(ASCE)ME.1943-5479.0000061 Golparvar-FardMPeña-MoraFSavareseSAutomated progress monitoring using unordered daily construction photographs and IFC-based building information modelsJ Comput Civ Eng20152910401402510.1061/(ASCE)CP.1943-5487.0000205 HanKKClineDGolparvar-FardMFormalized knowledge of construction sequencing for visual monitoring of work-in-progress via incomplete point clouds and low-LoD 4D BIMsAdv Eng Inform201529488990110.1016/j.aei.2015.10.006 ChenJPrincipal axes descriptor for automated construction-equipment classification from point cloudsJ Comput Civ Eng20173120401605810.1061/(ASCE)CP.1943-5487.0000628 SeoJMotion data-driven biomechanical analysis during construction tasks on sitesJ Comput Civ Eng2015294B401400510.1061/(ASCE)CP.1943-5487.0000400 KimHKimKKimHData-driven scene parsing method for recognizing construction site objects in the whole imageAutom Constr20167127128210.1016/j.autcon.2016.08.018 KimKKimHKimHImage-based construction hazard avoidance system using augmented reality in wearable deviceAutom Constr20178339040310.1016/j.autcon.2017.06.014 LeeY-JParkM-W3D tracking of multiple onsite workers based on stereo visionAutom Constr20199814615910.1016/j.autcon.2018.11.017 TurkanYAutomated progress tracking using 4D schedule and 3D sensing technologiesAutom Constr20122241442110.1016/j.autcon.2011.10.003 Rodriguez-GonzalvezPImage-based modeling of built environment from an unmanned aerial systemAutom Constr201448445210.1016/j.autcon.2014.08.010 ForsythDAPonceJComputer vision: a modern approach2002Upper Saddle RiverPrentice Hall Professional Technical Reference ParkM-WElsaftyNZhuZHardhat-wearing detection for enhancing on-site safety of construction workersJ Constr Eng Manag201514190401502410.1061/(ASCE)CO.1943-7862.0000974 KimJChiSAdaptive detector and tracker on construction sites using functional integration and online learningJ Comput Civ Eng20173150401702610.1061/(ASCE)CP.1943-5487.0000677 AsadiKVision-based integrated mobile robotic system for real-time applications in constructionAutom Constr20189647048210.1016/j.autcon.2018.10.009 SoltaniMMZhuZHammadAAutomated annotation for visual recognition of construction resources using synthetic imagesAutom Constr201662142310.1016/j.autcon.2015.10.002 ComaniciuDMeerPMean shift: A robust approach toward feature space analysisIEEE Trans Pattern Machine Intell200224560361910.1109/34.1000236 KimDRemote proximity monitoring between mobile construction resources using camera-mounted UAVsAutom Constr20199916818210.1016/j.autcon.2018.12 MM Soltani (9504_CR83) 2017; 82 H Luo (9504_CR109) 2018; 94 MM Soltani (9504_CR124) 2016; 62 J Seo (9504_CR34) 2015; 29 M Golparvar-Fard (9504_CR28) 2011; 137 H Kim (9504_CR80) 2018; 32 K Kim (9504_CR87) 2017; 83 J Canny (9504_CR65) 1987 M-W Park (9504_CR62) 2012; 28 H Khoury (9504_CR101) 2015; 56 C Rausch (9504_CR39) 2017; 31 M-W Park (9504_CR63) 2016; 72 KK Han (9504_CR126) 2015; 29 9504_CR68 W Fang (9504_CR11) 2018; 37 D Rebolj (9504_CR9) 2017; 84 9504_CR66 SJ Ray (9504_CR112) 2013; 36 Y Turkan (9504_CR38) 2013; 139 M Golparvar-Fard (9504_CR106) 2009; 23 H Son (9504_CR32) 2010; 19 9504_CR100 JK Aggarwal (9504_CR107) 2011; 43 Q Fang (9504_CR10) 2018; 85 M-W Park (9504_CR20) 2015; 141 K Asadi (9504_CR122) 2018; 96 J Chen (9504_CR74) 2018; 86 SM Shahandashti (9504_CR123) 2011; 137 SM Smith (9504_CR69) 1997; 23 M-K Kim (9504_CR117) 2015; 49 K Han (9504_CR77) 2018; 144 M Golparvar-Fard (9504_CR54) 2009; 14 D Comaniciu (9504_CR67) 2002; 24 Y-J Lee (9504_CR97) 2019; 98 Z Kolar (9504_CR76) 2018; 89 S Chi (9504_CR31) 2012; 138 DA Forsyth (9504_CR2) 2002 J Yang (9504_CR3) 2015; 29 B Xiao (9504_CR98) 2018; 32 S Han (9504_CR37) 2013; 27 M Golparvar-Fard (9504_CR49) 2013; 27 M Golparvar-Fard (9504_CR119) 2015; 29 K Ranaweera (9504_CR8) 2013; 27 ER Azar (9504_CR13) 2013; 139 9504_CR71 9504_CR73 J Gong (9504_CR128) 2011; 20 C Yuan (9504_CR24) 2017; 31 A Dimitrov (9504_CR116) 2014; 28 9504_CR70 S Roh (9504_CR45) 2011; 20 Z Zhu (9504_CR75) 2015; 29 D Kim (9504_CR82) 2019; 99 ER Azar (9504_CR59) 2012; 26 E Konstantinou (9504_CR25) 2018; 144 J Gong (9504_CR127) 2010; 24 F Dai (9504_CR27) 2013; 139 KK Han (9504_CR4) 2017; 73 I Jeelani (9504_CR46) 2018; 93 C Wang (9504_CR120) 2015; 49 H Son (9504_CR103) 2017; 33 S Han (9504_CR36) 2014; 28 C Kim (9504_CR61) 2013; 31 J Irizarry (9504_CR52) 2016; 32 K Liu (9504_CR125) 2015; 141 M-W Park (9504_CR29) 2012; 26 W Fang (9504_CR79) 2018; 91 M-W Park (9504_CR93) 2011; 20 H Kim (9504_CR96) 2016; 30 M Bügler (9504_CR95) 2017; 32 P Rodriguez-Gonzalvez (9504_CR102) 2014; 48 H Kim (9504_CR57) 2016; 71 J Yang (9504_CR51) 2014; 28 L Ding (9504_CR60) 2018; 86 YM Ibrahim (9504_CR113) 2009; 23 P Tang (9504_CR118) 2011; 25 X Luo (9504_CR14) 2018; 94 Z Wang (9504_CR47) 2019; 97 9504_CR99 J Gong (9504_CR22) 2011; 25 L Hui (9504_CR18) 2015; 29 ER Azar (9504_CR121) 2016; 30 ER Azar (9504_CR48) 2017; 31 Z Zhu (9504_CR21) 2016; 30 X Luo (9504_CR12) 2019; 34 H Bae (9504_CR19) 2015; 29 A Khosrowpour (9504_CR50) 2014; 48 Y Bai (9504_CR85) 2012; 28 BE Mneymneh (9504_CR15) 2019; 33 J Kim (9504_CR17) 2018; 87 L Kong (9504_CR110) 2018; 38 J Seo (9504_CR6) 2015; 29 X Zhang (9504_CR114) 2009; 18 Q Wang (9504_CR42) 2017; 32 J Chen (9504_CR40) 2017; 31 X Luo (9504_CR108) 2018; 32 S Bang (9504_CR53) 2017; 84 9504_CR1 J Chen (9504_CR58) 2017; 31 LTd Gouveia (9504_CR88) 2011; 25 M-M Sharif (9504_CR41) 2017; 32 KK Han (9504_CR115) 2015; 53 Q Fang (9504_CR81) 2018; 93 E Rezazadeh Azar (9504_CR91) 2012; 24 J Yang (9504_CR23) 2016; 30 J Kim (9504_CR90) 2017; 31 S Chi (9504_CR84) 2011; 26 H Son (9504_CR89) 2012; 26 D Comaniciu (9504_CR92) 2003; 5 M Memarzadeh (9504_CR86) 2013; 32 Z Pučko (9504_CR104) 2018; 38 C Rausch (9504_CR43) 2017; 75 J Teizer (9504_CR7) 2015; 29 H Chen (9504_CR78) 2019; 98 Z Zhu (9504_CR94) 2016; 68 S Han (9504_CR33) 2013; 35 I Brilakis (9504_CR129) 2011; 25 D Wang (9504_CR5) 2015; 141 MM Soltani (9504_CR26) 2018; 32 H Hamledari (9504_CR64) 2017; 74 H Kim (9504_CR30) 2018; 88 Y Turkan (9504_CR105) 2012; 22 H Zhang (9504_CR111) 2018; 94 H Wu (9504_CR72) 2018; 100 GM Jog (9504_CR130) 2011; 20 J Teizer (9504_CR44) 2010; 19 S Ergan (9504_CR55) 2008; 13 YK Cho (9504_CR56) 2014; 28 H Guo (9504_CR35) 2018; 144 Y Wu (9504_CR16) 2010; 24
References_xml	– reference: ChenJPrincipal axes descriptor for automated construction-equipment classification from point cloudsJ Comput Civ Eng20173120401605810.1061/(ASCE)CP.1943-5487.0000628 – reference: TeizerJStatus quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sitesAdv Eng Inform2015292225238341186610.1016/j.aei.2015.03.006 – reference: HamledariHMcCabeBDavariSAutomated computer vision-based detection of components of under-construction indoor partitionsAutom Constr201774789410.1016/j.autcon.2016.11.009 – reference: KongLQuantifying the physical intensity of construction workers, a mechanical energy approachAdv Eng Inform20183840441910.1016/j.aei.2018.08.005 – reference: LuoXRecognizing diverse construction activities in site images via relevance networks of construction-related objects detected by convolutional neural networksJ Comput Civ Eng20183230401801210.1061/(ASCE)CP.1943-5487.0000756 – reference: RaySJTeizerJComputing 3D blind spots of construction equipment: implementation and evaluation of an automated measurement and visualization method utilizing range point cloud dataAutom Constr2013369510710.1016/j.autcon.2013.08.007 – reference: ParkM-WKochCBrilakisIThree-dimensional tracking of construction resources using an on-site camera systemJ Comput Civ Eng201226454154910.1061/(ASCE)CP.1943-5487.0000168 – reference: Rezazadeh AzarEMcCabeBPart based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videosAutom Construct20122419420210.1016/j.autcon.2012.03.003 – reference: GongJCaldasCHComputer vision-based video interpretation model for automated productivity analysis of construction operationsJ Comput Civ Eng201024325226310.1061/(ASCE)CP.1943-5487.0000027 – reference: KolarZChenHLuoXTransfer learning and deep convolutional neural networks for safety guardrail detection in 2D imagesAutom Constr201889587010.1016/j.autcon.2018.01.003 – reference: SeoJComputer vision techniques for construction safety and health monitoringAdv Eng Inform201529223925110.1016/j.aei.2015.02.001 – reference: HanSLeeSPeña-MoraFComparative study of motion features for similarity-based modeling and classification of unsafe actions in constructionJ Comput Civ Eng2014285A401400510.1061/(ASCE)CP.1943-5487.0000339 – reference: HanKKGolparvar-FardMAppearance-based material classification for monitoring of operation-level construction progress using 4D BIM and site photologsAutom Constr201553445710.1016/j.autcon.2015.02.007 – reference: YangJVision-based tower crane tracking for understanding construction activityJ Comput Civ Eng201428110311210.1061/(ASCE)CP.1943-5487.0000242 – reference: TurkanYAutomated progress tracking using 4D schedule and 3D sensing technologiesAutom Constr20122241442110.1016/j.autcon.2011.10.003 – reference: ComaniciuDMeerPMean shift: A robust approach toward feature space analysisIEEE Trans Pattern Machine Intell200224560361910.1109/34.1000236 – reference: KimM-KA framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanningAutom Constr20154922523810.1016/j.autcon.2014.07.010 – reference: KimHKimKKimHVision-based object-centric safety assessment using fuzzy inference: monitoring struck-by accidents with moving objectsJ Comput Civ Eng20163040401507510.1061/(ASCE)CP.1943-5487.0000562 – reference: AsadiKVision-based integrated mobile robotic system for real-time applications in constructionAutom Constr20189647048210.1016/j.autcon.2018.10.009 – reference: HanKDegolJGolparvar-FardMGeometry- and appearance-based reasoning of construction progress monitoringJ Constr Eng Manag201814420401711010.1061/(ASCE)CO.1943-7862.0001428 – reference: BaeHGolparvar-FardMWhiteJImage-based localization and content authoring in structure-from-motion point cloud models for real-time field reporting applicationsJ Comput Civ Eng2015294B401400810.1061/(ASCE)CP.1943-5487.0000392 – reference: ComaniciuDRameshVMeerPKernel-based object trackingIEEE Trans Pattern Anal Mach Intell2003556457510.1109/TPAMI.2003.1195991 – reference: ParkM-WMakhmalbafABrilakisIComparative study of vision tracking methods for tracking of construction site resourcesAutom Constr201120790591510.1016/j.autcon.2011.03.007 – reference: LuoHConvolutional neural networks: computer vision-based workforce activity assessment in constructionAutom Constr20189428228910.1016/j.autcon.2018.06.007 – reference: SoltaniMMZhuZHammadAFramework for location data fusion and pose estimation of excavators using stereo visionJ Comput Civ Eng20183260401804510.1061/(ASCE)CP.1943-5487.0000783 – reference: KonstantinouEBrilakisIMatching construction workers across views for automated 3D vision tracking on-siteJ Constr Eng Manag201814470401806110.1061/(ASCE)CO.1943-7862.0001508 – reference: YangJConstruction performance monitoring via still images, time-lapse photos, and video streams: now, tomorrow, and the futureAdv Eng Inform201529221122410.1016/j.aei.2015.01.011 – reference: Camera Calibrator App, in Computer Vision Toolbox™. 2013, MathWorks®. p. The Camera Calibrator app allows you to estimate camera intrinsics, extrinsics, and lens distortion parameters. You can use these camera parameters for various computer vision applications. These applications include removing the effects of lens distortion from an image, measuring planar objects, or reconstructing 3-D scenes from multiple cameras – reference: ChiSCaldasCHImage-based safety assessment: automated spatial safety risk identification of earthmoving and surface mining activitiesJ Constr Eng Manag2012138334135110.1061/(ASCE)CO.1943-7862.0000438 – reference: Golparvar-FardMPeña-MoraFSavareseSIntegrated sequential as-built and as-planned representation with D4AR tools in support of decision-making tasks in the AEC/FM industryJ Constr Eng Manag2011137121099111610.1061/(ASCE)CO.1943-7862.0000371 – reference: DingLA deep hybrid learning model to detect unsafe behavior: integrating convolution neural networks and long short-term memoryAutom Constr20188611812410.1016/j.autcon.2017.11.002 – reference: GongJCaldasCHAn object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operationsAutom Constr20112081211122610.1016/j.autcon.2011.05.005 – reference: IbrahimYMTowards automated progress assessment of workpackage components in construction projects using computer visionAdv Eng Inform200923193103252690310.1016/j.aei.2008.07.002 – reference: AzarERMcCabeBAutomated visual recognition of dump trucks in construction videosJ Comput Civ Eng201226676978110.1061/(ASCE)CP.1943-5487.0000179 – reference: AggarwalJKRyooMSHuman activity analysis: a reviewACM Comput Surv CSUR201143316 – reference: ParkM-WBrilakisIConstruction worker detection in video frames for initializing vision trackersAutom Constr201228152510.1016/j.autcon.2012.06.001 – reference: ZhuZPredicting movements of onsite workers and mobile equipment for enhancing construction site safetyAutom Constr2016689510110.1016/j.autcon.2016.04.009 – reference: AzarERSemantic annotation of videos from equipment-intensive construction operations by shot recognition and probabilistic reasoningJ Comput Civ Eng20173150401704210.1061/(ASCE)CP.1943-5487.0000693 – reference: SoltaniMMZhuZHammadAAutomated annotation for visual recognition of construction resources using synthetic imagesAutom Constr201662142310.1016/j.autcon.2015.10.002 – reference: GongJCaldasCHGordonCLearning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network modelsAdv Eng Inform201125477178210.1016/j.aei.2011.06.002 – reference: KimHKimH3D reconstruction of a concrete mixer truck for training object detectorsAutom Constr201888233010.1016/j.autcon.2017.12.034 – reference: ErganSTechnological assessment and process implications of field data capture technologies for construction and facility/infrastructure managementElectron J Inf Technol Constr200813134154 – reference: TangPHuberDAkinciBCharacterization of laser scanners and algorithms for detecting flatness defects on concrete surfacesJ Comput Civ Eng2011251314210.1061/(ASCE)CP.1943-5487.0000073 – reference: XiaoBZhuZTwo-dimensional visual tracking in construction scenarios: a comparative studyJ Comput Civ Eng20183230401800610.1061/(ASCE)CP.1943-5487.0000738 – reference: ChoYKGaiMProjection-recognition-projection method for automatic object recognition and registration for dynamic heavy equipment operationsJ Comput Civ Eng2014285A401400210.1061/(ASCE)CP.1943-5487.0000332 – reference: HanSLeeSA vision-based motion capture and recognition framework for behavior-based safety managementAutom Constr20133513114110.1016/j.autcon.2013.05.001 – reference: RanaweeraKRuwanpuraJFernandoSAutomated real-time monitoring system to measure shift production of tunnel construction projectsJ Comput Civ Eng2013271687710.1061/(ASCE)CP.1943-5487.0000199 – reference: FangWAutomated detection of workers and heavy equipment on construction sites: a convolutional neural network approachAdv Eng Inform20183713914910.1016/j.aei.2018.05.003 – reference: DaiFLuMThree-dimensional modeling of site elements by analytically processing image data contained in site photosJ Constr Eng Manag2013139788189410.1061/(ASCE)CO.1943-7862.0000655 – reference: Stauffer C, Grimson WEL (1999) Adaptive background mixture models for real-time tracking. In: Proceedings. 1999 IEEE computer society conference on computer vision and pattern recognition (Cat. No PR00149). IEEE – reference: KimJChiSSeoJInteraction analysis for vision-based activity identification of earthmoving excavators and dump trucksAutom Constr20188729730810.1016/j.autcon.2017.12.016 – reference: ZhangHYanXLiHErgonomic posture recognition using 3D view-invariant features from single ordinary cameraAutom Constr20189411010.1016/j.autcon.2018.05.033 – reference: WangDDaiFNingXRisk assessment of work-related musculoskeletal disorders in construction: state-of-the-art reviewJ Constr Eng Manag201514160401500810.1061/(ASCE)CO.1943-7862.0000979 – reference: FangQDetecting non-hardhat-use by a deep learning method from far-field surveillance videosAutom Constr2018851910.1016/j.autcon.2017.09.018 – reference: ChenJFangYChoYKReal-time 3D crane workspace update using a hybrid visualization approachJ Comput Civ Eng20173150401704910.1061/(ASCE)CP.1943-5487.0000698 – reference: RohSAzizZPeña-MoraFAn object-based 3D walk-through model for interior construction progress monitoringAutom Constr2011201667510.1016/j.autcon.2010.07.003 – reference: AzarERConstruction equipment identification using marker-based recognition and an active zoom cameraJ Comput Civ Eng20163030401503310.1061/(ASCE)CP.1943-5487.0000507 – reference: Golparvar-FardMPeña-MoraFSavareseSD4AR–a 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing and communicationJ Inf Technol Constr20091413129153 – reference: WuYObject recognition in construction-site images using 3D CAD-based filteringJ Comput Civ Eng2010241566410.1061/(ASCE)0887-3801(2010)24:1(56) – reference: ZhangXAutomating progress measurement of construction projectsAutom Constr200918329430110.1016/j.autcon.2008.09.004 – reference: Golparvar-FardMHeydarianANieblesJCVision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiersAdv Eng Inform201327465266310.1016/j.aei.2013.09.001 – reference: HanKKClineDGolparvar-FardMFormalized knowledge of construction sequencing for visual monitoring of work-in-progress via incomplete point clouds and low-LoD 4D BIMsAdv Eng Inform201529488990110.1016/j.aei.2015.10.006 – reference: ShahandashtiSMData-fusion approaches and applications for construction engineeringJ Constr Eng Manag20111371086386910.1061/(ASCE)CO.1943-7862.0000287 – reference: LuoXLiHYangXYuYCaoDCapturing and understanding workers’ activities in far-field surveillance videos with deep action recognition and Bayesian nonparametric learningComput Aided Civ Infrastruct Eng201934433335110.1111/mice.12419 – reference: HuiLParkM-WBrilakisIAutomated brick counting for façade construction progress estimationJ Comput Civ Eng20152960401409110.1061/(ASCE)CP.1943-5487.0000423 – reference: GuoHImage-and-skeleton-based parameterized approach to real-time identification of construction workers’ unsafe behaviorsJ Constr Eng Manag201814460401804210.1061/(ASCE)CO.1943-7862.0001497 – reference: ParkM-WElsaftyNZhuZHardhat-wearing detection for enhancing on-site safety of construction workersJ Constr Eng Manag201514190401502410.1061/(ASCE)CO.1943-7862.0000974 – reference: JeelaniIHanKAlbertAAutomating and scaling personalized safety training using eye-tracking dataAutom Constr201893637710.1016/j.autcon.2018.05.006 – reference: ZhuZRenXChenZVisual tracking of construction jobsite workforce and equipment with particle filteringJ Comput Civ Eng20163060401602310.1061/(ASCE)CP.1943-5487.0000573 – reference: KimDRemote proximity monitoring between mobile construction resources using camera-mounted UAVsAutom Constr20199916818210.1016/j.autcon.2018.12.014 – reference: BaiYHuanJKimSMeasuring bridge construction efficiency using the wireless real-time video monitoring systemJ Manag Eng201228212012610.1061/(ASCE)ME.1943-5479.0000061 – reference: Harris CG, Stephens M (1988) A combined corner and edge detector. In: Alvey vision conference. Citeseer – reference: SeoJMotion data-driven biomechanical analysis during construction tasks on sitesJ Comput Civ Eng2015294B401400510.1061/(ASCE)CP.1943-5487.0000400 – reference: LiuKGolparvar-FardMCrowdsourcing construction activity analysis from jobsite video streamsJ Constr Eng Manag2015141110401503510.1061/(ASCE)CO.1943-7862.0001010 – reference: WangZLiHZhangXConstruction waste recycling robot for nails and screws: computer vision technology and neural network approachAutom Constr20199722022810.1016/j.autcon.2018.11.009 – reference: MemarzadehMGolparvar-FardMNieblesJCAutomated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colorsAutom Constr201332243710.1016/j.autcon.2012.12.002 – reference: ChenJFangYChoYKPerformance evaluation of 3D descriptors for object recognition in construction applicationsAutom Constr201886445210.1016/j.autcon.2017.10.033 – reference: BangSKimHKimHUAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitchingAutom Constr201784708010.1016/j.autcon.2017.08.031 – reference: GouveiaLTdEntropy-based approach to analyze and classify mineral aggregatesJ Comput Civ Eng2011251758410.1061/(ASCE)CP.1943-5487.0000071 – reference: KimHDetecting construction equipment using a region-based fully convolutional network and transfer learningJ Comput Civ Eng20183220401708210.1061/(ASCE)CP.1943-5487.0000731 – reference: FangWFalls from heights: a computer vision-based approach for safety harness detectionAutom Constr201891536110.1016/j.autcon.2018.02.018 – reference: SoltaniMMZhuZHammadASkeleton estimation of excavator by detecting its partsAutom Constr20178211510.1016/j.autcon.2017.06.023 – reference: ParkM-WBrilakisIContinuous localization of construction workers via integration of detection and trackingAutom Constr20167212914210.1016/j.autcon.2016.08.039 – reference: SonHKimC3D structural component recognition and modeling method using color and 3D data for construction progress monitoringAutom Constr201019784485410.1016/j.autcon.2010.03.003 – reference: IrizarryJCostaDBExploratory study of potential applications of unmanned aerial systems for construction management tasksJ Manag Eng20163230501600110.1061/(ASCE)ME.1943-5479.0000422 – reference: Lowe D (2015) The Computer Vision Industry. https://www.cs.ubc.ca/~lowe/vision.html. Accessed 11 Nov 2019 – reference: LuoXTowards efficient and objective work sampling: recognizing workers’ activities in site surveillance videos with two-stream convolutional networksAutom Constr20189436037010.1016/j.autcon.2018.07.011 – reference: Sobel I, Feldman G (1968) A 3 × 3 isotropic gradient operator for image processing. Pattern Classif Scene Anal 271–272 – reference: ZhuZDavariKComparison of local visual feature detectors and descriptors for the registration of 3D building scenesJ Comput Civ Eng20152950401407110.1061/(ASCE)CP.1943-5487.0000381 – reference: Rosten E, Drummond T (2006) Machine learning for high-speed corner detection. In: European conference on computer vision. Springer – reference: ChenHA proactive workers’ safety risk evaluation framework based on position and posture data fusionAutom Constr20199827528810.1016/j.autcon.2018.11.026 – reference: KimCSonHKimCAutomated construction progress measurement using a 4D building information model and 3D dataAutom Constr201331758210.1016/j.autcon.2012.11.041 – reference: HanSLeeSPeña-MoraFVision-based detection of unsafe actions of a construction worker: case study of ladder climbingJ Comput Civ Eng201327663564410.1061/(ASCE)CP.1943-5487.0000279 – reference: TeizerJAllreadBSMantripragadaUAutomating the blind spot measurement of construction equipmentAutom Constr201019449150110.1016/j.autcon.2009.12.012 – reference: CannyJFischlerMAFirscheinOA computational approach to edge detectionReadings in computer vision1987San FranciscoMorgan Kaufmann184203 – reference: BüglerMFusion of photogrammetry and video analysis for productivity assessment of earthwork processesComput Aided Civ Infrastruct Eng201732210712310.1111/mice.12235 – reference: ForsythDAPonceJComputer vision: a modern approach2002Upper Saddle RiverPrentice Hall Professional Technical Reference – reference: ReboljDPoint cloud quality requirements for Scan-vs-BIM based automated construction progress monitoringAutom Constr20178432333410.1016/j.autcon.2017.09.021 – reference: Rodriguez-GonzalvezPImage-based modeling of built environment from an unmanned aerial systemAutom Constr201448445210.1016/j.autcon.2014.08.010 – reference: Bouguet J-Y (2004) Camera Calibration Toolbox for Matlab. http://www.vision.caltech.edu/bouguetj/calib_doc/. Accessed 15 Nov 2019 – reference: PučkoZŠumanNReboljDAutomated continuous construction progress monitoring using multiple workplace real time 3D scansAdv Eng Inform201838274010.1016/j.aei.2018.06.001 – reference: KimKKimHKimHImage-based construction hazard avoidance system using augmented reality in wearable deviceAutom Constr20178339040310.1016/j.autcon.2017.06.014 – reference: WangQChengJCPSohnHAutomated estimation of reinforced precast concrete rebar positions using colored laser scan dataComput Aided Civ Infrastruct Eng201732978780210.1111/mice.12293 – reference: FangQComputer vision aided inspection on falling prevention measures for steeplejacks in an aerial environmentAutom Constr20189314816410.1016/j.autcon.2018.05.022 – reference: WangCChoYKSmart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloudAutom Constr20154923924910.1016/j.autcon.2014.06.003 – reference: Lowe DG (1999) Object recognition from local scale-invariant features. In: Proceedings of the seventh IEEE international conference on computer vision – reference: SharifM-MAutomated model-based finding of 3D objects in cluttered construction point cloud modelsComput Aided Civ Infrastruct Eng2017321189390810.1111/mice.12306 – reference: ChiSCaldasCHAutomated object identification using optical video cameras on construction sitesComput Aided Civ Infrastruct Eng201126536838010.1111/j.1467-8667.2010.00690.x – reference: Golparvar-FardMPeña-MoraFSavareseSAutomated progress monitoring using unordered daily construction photographs and IFC-based building information modelsJ Comput Civ Eng20152910401402510.1061/(ASCE)CP.1943-5487.0000205 – reference: KhouryHInfrastructureless approach for ubiquitous user location tracking in construction environmentsAutom Constr201556476610.1016/j.autcon.2015.04.009 – reference: YuanCLiSCaiHVision-based excavator detection and tracking using hybrid kinematic shapes and key nodesJ Comput Civ Eng20173110401603810.1061/(ASCE)CP.1943-5487.0000602 – reference: RauschCOptimum assembly planning for modular construction componentsJ Comput Civ Eng20173110401603910.1061/(ASCE)CP.1943-5487.0000605 – reference: SonHKimCKimCAutomated color model–based concrete detection in construction-site images by using machine learning algorithmsJ Comput Civ Eng201226342143310.1061/(ASCE)CP.1943-5487.0000141 – reference: JogGMBrilakisIKAngelidesDCTesting in harsh conditions: tracking resources on construction sites with machine visionAutom Constr201120432833710.1016/j.autcon.2010.11.003 – reference: AzarERDickinsonSMcCabeBServer-customer interaction tracker: computer vision-based system to estimate dirt-loading cyclesJ Constr Eng Manag2013139778579410.1061/(ASCE)CO.1943-7862.0000652 – reference: LeeY-JParkM-W3D tracking of multiple onsite workers based on stereo visionAutom Constr20199814615910.1016/j.autcon.2018.11.017 – reference: WuHZhaoJAn intelligent vision-based approach for helmet identification for work safetyComput Ind201810026727710.1016/j.compind.2018.03.037 – reference: KimJChiSAdaptive detector and tracker on construction sites using functional integration and online learningJ Comput Civ Eng20173150401702610.1061/(ASCE)CP.1943-5487.0000677 – reference: KimHKimKKimHData-driven scene parsing method for recognizing construction site objects in the whole imageAutom Constr20167127128210.1016/j.autcon.2016.08.018 – reference: BrilakisIParkM-WJogGAutomated vision tracking of project related entitiesAdv Eng Inform201125471372410.1016/j.aei.2011.01.003 – reference: KhosrowpourANieblesJCGolparvar-FardMVision-based workface assessment using depth images for activity analysis of interior construction operationsAutom Constr201448748710.1016/j.autcon.2014.08.003 – reference: SmithSMBradyJMSUSAN—a new approach to low level image processingInt J Comput Vis1997231457810.1023/A:1007963824710 – reference: YangJShiZWuZVision-based action recognition of construction workers using dense trajectoriesAdv Eng Inform201630332733610.1016/j.aei.2016.04.009 – reference: RauschCKinematics chain based dimensional variation analysis of construction assemblies using building information models and 3D point cloudsAutom Constr201775334410.1016/j.autcon.2016.12.001 – reference: Golparvar-FardMVisualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographsJ Comput Civ Eng200923639140410.1061/(ASCE)0887-3801(2009)23:6(391) – reference: SonHKimCChoYKAutomated schedule updates using as-built data and a 4D building information modelJ Manag Eng20173340401701210.1061/(ASCE)ME.1943-5479.0000528 – reference: MneymnehBEAbbasMKhouryHVision-based framework for intelligent monitoring of hardhat wearing on construction sitesJ Comput Civ Eng20193320401806610.1061/(ASCE)CP.1943-5487.0000813 – reference: DimitrovAGolparvar-FardMVision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collectionsAdv Eng Inform2014281374910.1016/j.aei.2013.11.002 – reference: HanKKGolparvar-FardMPotential of big visual data and building information modeling for construction performance analytics: an exploratory studyAutom Constr20177318419810.1016/j.autcon.2016.11.004 – reference: TurkanYToward automated earned value tracking using 3D imaging toolsJ Constr Eng Manag2013139442343310.1061/(ASCE)CO.1943-7862.0000629 – volume: 144 start-page: 04018061 issue: 7 year: 2018 ident: 9504_CR25 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0001508 – volume: 139 start-page: 785 issue: 7 year: 2013 ident: 9504_CR13 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0000652 – volume: 86 start-page: 118 year: 2018 ident: 9504_CR60 publication-title: Autom Constr doi: 10.1016/j.autcon.2017.11.002 – volume: 35 start-page: 131 year: 2013 ident: 9504_CR33 publication-title: Autom Constr doi: 10.1016/j.autcon.2013.05.001 – volume: 88 start-page: 23 year: 2018 ident: 9504_CR30 publication-title: Autom Constr doi: 10.1016/j.autcon.2017.12.034 – volume: 141 start-page: 04015024 issue: 9 year: 2015 ident: 9504_CR20 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0000974 – volume: 38 start-page: 404 year: 2018 ident: 9504_CR110 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2018.08.005 – volume: 27 start-page: 68 issue: 1 year: 2013 ident: 9504_CR8 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000199 – volume: 144 start-page: 04018042 issue: 6 year: 2018 ident: 9504_CR35 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0001497 – ident: 9504_CR73 – volume: 23 start-page: 391 issue: 6 year: 2009 ident: 9504_CR106 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)0887-3801(2009)23:6(391) – volume: 48 start-page: 44 year: 2014 ident: 9504_CR102 publication-title: Autom Constr doi: 10.1016/j.autcon.2014.08.010 – volume: 31 start-page: 75 year: 2013 ident: 9504_CR61 publication-title: Autom Constr doi: 10.1016/j.autcon.2012.11.041 – volume: 23 start-page: 93 issue: 1 year: 2009 ident: 9504_CR113 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2008.07.002 – volume: 30 start-page: 04015033 issue: 3 year: 2016 ident: 9504_CR121 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000507 – volume: 31 start-page: 04017042 issue: 5 year: 2017 ident: 9504_CR48 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000693 – ident: 9504_CR71 doi: 10.1109/ICCV.1999.790410 – volume: 24 start-page: 252 issue: 3 year: 2010 ident: 9504_CR127 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000027 – volume: 75 start-page: 33 year: 2017 ident: 9504_CR43 publication-title: Autom Constr doi: 10.1016/j.autcon.2016.12.001 – volume: 32 start-page: 24 year: 2013 ident: 9504_CR86 publication-title: Autom Constr doi: 10.1016/j.autcon.2012.12.002 – volume: 30 start-page: 04016023 issue: 6 year: 2016 ident: 9504_CR21 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000573 – volume: 26 start-page: 368 issue: 5 year: 2011 ident: 9504_CR84 publication-title: Comput Aided Civ Infrastruct Eng doi: 10.1111/j.1467-8667.2010.00690.x – ident: 9504_CR99 – volume: 82 start-page: 1 year: 2017 ident: 9504_CR83 publication-title: Autom Constr doi: 10.1016/j.autcon.2017.06.023 – volume: 96 start-page: 470 year: 2018 ident: 9504_CR122 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.10.009 – volume: 20 start-page: 905 issue: 7 year: 2011 ident: 9504_CR93 publication-title: Autom Constr doi: 10.1016/j.autcon.2011.03.007 – volume: 38 start-page: 27 year: 2018 ident: 9504_CR104 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2018.06.001 – ident: 9504_CR70 doi: 10.1007/11744023_34 – volume: 24 start-page: 56 issue: 1 year: 2010 ident: 9504_CR16 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)0887-3801(2010)24:1(56) – volume: 20 start-page: 328 issue: 4 year: 2011 ident: 9504_CR130 publication-title: Autom Constr doi: 10.1016/j.autcon.2010.11.003 – volume: 73 start-page: 184 year: 2017 ident: 9504_CR4 publication-title: Autom Constr doi: 10.1016/j.autcon.2016.11.004 – volume: 94 start-page: 360 year: 2018 ident: 9504_CR14 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.07.011 – volume: 32 start-page: 04017082 issue: 2 year: 2018 ident: 9504_CR80 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000731 – ident: 9504_CR100 – volume: 141 start-page: 04015008 issue: 6 year: 2015 ident: 9504_CR5 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0000979 – volume: 137 start-page: 1099 issue: 12 year: 2011 ident: 9504_CR28 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0000371 – volume: 29 start-page: B4014005 issue: 4 year: 2015 ident: 9504_CR34 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000400 – volume: 32 start-page: 04018006 issue: 3 year: 2018 ident: 9504_CR98 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000738 – volume: 94 start-page: 282 year: 2018 ident: 9504_CR109 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.06.007 – volume: 93 start-page: 63 year: 2018 ident: 9504_CR46 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.05.006 – volume: 33 start-page: 04017012 issue: 4 year: 2017 ident: 9504_CR103 publication-title: J Manag Eng doi: 10.1061/(ASCE)ME.1943-5479.0000528 – volume: 20 start-page: 66 issue: 1 year: 2011 ident: 9504_CR45 publication-title: Autom Constr doi: 10.1016/j.autcon.2010.07.003 – volume: 138 start-page: 341 issue: 3 year: 2012 ident: 9504_CR31 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0000438 – volume: 29 start-page: 04014025 issue: 1 year: 2015 ident: 9504_CR119 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000205 – volume: 26 start-page: 541 issue: 4 year: 2012 ident: 9504_CR29 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000168 – volume: 31 start-page: 04017026 issue: 5 year: 2017 ident: 9504_CR90 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000677 – volume: 31 start-page: 04017049 issue: 5 year: 2017 ident: 9504_CR58 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000698 – volume: 29 start-page: 889 issue: 4 year: 2015 ident: 9504_CR126 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2015.10.006 – volume: 31 start-page: 04016039 issue: 1 year: 2017 ident: 9504_CR39 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000605 – ident: 9504_CR66 – volume: 84 start-page: 323 year: 2017 ident: 9504_CR9 publication-title: Autom Constr doi: 10.1016/j.autcon.2017.09.021 – volume: 29 start-page: 239 issue: 2 year: 2015 ident: 9504_CR6 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2015.02.001 – volume: 100 start-page: 267 year: 2018 ident: 9504_CR72 publication-title: Comput Ind doi: 10.1016/j.compind.2018.03.037 – volume: 28 start-page: 103 issue: 1 year: 2014 ident: 9504_CR51 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000242 – volume: 89 start-page: 58 year: 2018 ident: 9504_CR76 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.01.003 – volume: 30 start-page: 327 issue: 3 year: 2016 ident: 9504_CR23 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2016.04.009 – volume: 14 start-page: 129 issue: 13 year: 2009 ident: 9504_CR54 publication-title: J Inf Technol Constr – volume: 20 start-page: 1211 issue: 8 year: 2011 ident: 9504_CR128 publication-title: Autom Constr doi: 10.1016/j.autcon.2011.05.005 – volume: 24 start-page: 603 issue: 5 year: 2002 ident: 9504_CR67 publication-title: IEEE Trans Pattern Machine Intell doi: 10.1109/34.1000236 – volume: 29 start-page: 225 issue: 2 year: 2015 ident: 9504_CR7 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2015.03.006 – volume: 93 start-page: 148 year: 2018 ident: 9504_CR81 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.05.022 – volume: 32 start-page: 04018012 issue: 3 year: 2018 ident: 9504_CR108 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000756 – volume: 144 start-page: 04017110 issue: 2 year: 2018 ident: 9504_CR77 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0001428 – volume: 32 start-page: 107 issue: 2 year: 2017 ident: 9504_CR95 publication-title: Comput Aided Civ Infrastruct Eng doi: 10.1111/mice.12235 – volume: 43 start-page: 16 issue: 3 year: 2011 ident: 9504_CR107 publication-title: ACM Comput Surv CSUR – volume: 48 start-page: 74 year: 2014 ident: 9504_CR50 publication-title: Autom Constr doi: 10.1016/j.autcon.2014.08.003 – volume: 28 start-page: 15 year: 2012 ident: 9504_CR62 publication-title: Autom Constr doi: 10.1016/j.autcon.2012.06.001 – volume: 30 start-page: 04015075 issue: 4 year: 2016 ident: 9504_CR96 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000562 – volume: 62 start-page: 14 year: 2016 ident: 9504_CR124 publication-title: Autom Constr doi: 10.1016/j.autcon.2015.10.002 – volume: 28 start-page: A4014005 issue: 5 year: 2014 ident: 9504_CR36 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000339 – ident: 9504_CR1 – volume: 31 start-page: 04016038 issue: 1 year: 2017 ident: 9504_CR24 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000602 – volume: 37 start-page: 139 year: 2018 ident: 9504_CR11 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2018.05.003 – volume: 97 start-page: 220 year: 2019 ident: 9504_CR47 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.11.009 – volume: 32 start-page: 787 issue: 9 year: 2017 ident: 9504_CR42 publication-title: Comput Aided Civ Infrastruct Eng doi: 10.1111/mice.12293 – volume: 53 start-page: 44 year: 2015 ident: 9504_CR115 publication-title: Autom Constr doi: 10.1016/j.autcon.2015.02.007 – volume: 5 start-page: 564 year: 2003 ident: 9504_CR92 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2003.1195991 – volume: 84 start-page: 70 year: 2017 ident: 9504_CR53 publication-title: Autom Constr doi: 10.1016/j.autcon.2017.08.031 – volume: 28 start-page: A4014002 issue: 5 year: 2014 ident: 9504_CR56 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000332 – volume: 13 start-page: 134 year: 2008 ident: 9504_CR55 publication-title: Electron J Inf Technol Constr – volume: 26 start-page: 421 issue: 3 year: 2012 ident: 9504_CR89 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000141 – volume: 26 start-page: 769 issue: 6 year: 2012 ident: 9504_CR59 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000179 – volume: 98 start-page: 275 year: 2019 ident: 9504_CR78 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.11.026 – volume: 85 start-page: 1 year: 2018 ident: 9504_CR10 publication-title: Autom Constr doi: 10.1016/j.autcon.2017.09.018 – volume: 23 start-page: 45 issue: 1 year: 1997 ident: 9504_CR69 publication-title: Int J Comput Vis doi: 10.1023/A:1007963824710 – volume: 36 start-page: 95 year: 2013 ident: 9504_CR112 publication-title: Autom Constr doi: 10.1016/j.autcon.2013.08.007 – volume: 25 start-page: 771 issue: 4 year: 2011 ident: 9504_CR22 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2011.06.002 – start-page: 184 volume-title: Readings in computer vision year: 1987 ident: 9504_CR65 – volume: 86 start-page: 44 year: 2018 ident: 9504_CR74 publication-title: Autom Constr doi: 10.1016/j.autcon.2017.10.033 – volume: 25 start-page: 31 issue: 1 year: 2011 ident: 9504_CR118 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000073 – volume: 74 start-page: 78 year: 2017 ident: 9504_CR64 publication-title: Autom Constr doi: 10.1016/j.autcon.2016.11.009 – volume: 25 start-page: 75 issue: 1 year: 2011 ident: 9504_CR88 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000071 – volume: 19 start-page: 491 issue: 4 year: 2010 ident: 9504_CR44 publication-title: Autom Constr doi: 10.1016/j.autcon.2009.12.012 – volume: 24 start-page: 194 year: 2012 ident: 9504_CR91 publication-title: Autom Construct doi: 10.1016/j.autcon.2012.03.003 – volume: 29 start-page: 04014091 issue: 6 year: 2015 ident: 9504_CR18 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000423 – volume: 25 start-page: 713 issue: 4 year: 2011 ident: 9504_CR129 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2011.01.003 – volume: 83 start-page: 390 year: 2017 ident: 9504_CR87 publication-title: Autom Constr doi: 10.1016/j.autcon.2017.06.014 – volume: 56 start-page: 47 year: 2015 ident: 9504_CR101 publication-title: Autom Constr doi: 10.1016/j.autcon.2015.04.009 – volume: 71 start-page: 271 year: 2016 ident: 9504_CR57 publication-title: Autom Constr doi: 10.1016/j.autcon.2016.08.018 – volume: 33 start-page: 04018066 issue: 2 year: 2019 ident: 9504_CR15 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000813 – volume: 49 start-page: 225 year: 2015 ident: 9504_CR117 publication-title: Autom Constr doi: 10.1016/j.autcon.2014.07.010 – volume: 34 start-page: 333 issue: 4 year: 2019 ident: 9504_CR12 publication-title: Comput Aided Civ Infrastruct Eng doi: 10.1111/mice.12419 – volume: 139 start-page: 881 issue: 7 year: 2013 ident: 9504_CR27 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0000655 – volume: 139 start-page: 423 issue: 4 year: 2013 ident: 9504_CR38 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0000629 – volume: 32 start-page: 893 issue: 11 year: 2017 ident: 9504_CR41 publication-title: Comput Aided Civ Infrastruct Eng doi: 10.1111/mice.12306 – volume: 27 start-page: 652 issue: 4 year: 2013 ident: 9504_CR49 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2013.09.001 – volume: 32 start-page: 04018045 issue: 6 year: 2018 ident: 9504_CR26 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000783 – volume: 141 start-page: 04015035 issue: 11 year: 2015 ident: 9504_CR125 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0001010 – ident: 9504_CR68 doi: 10.5244/C.2.23 – volume: 91 start-page: 53 year: 2018 ident: 9504_CR79 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.02.018 – volume: 28 start-page: 120 issue: 2 year: 2012 ident: 9504_CR85 publication-title: J Manag Eng doi: 10.1061/(ASCE)ME.1943-5479.0000061 – volume: 49 start-page: 239 year: 2015 ident: 9504_CR120 publication-title: Autom Constr doi: 10.1016/j.autcon.2014.06.003 – volume: 87 start-page: 297 year: 2018 ident: 9504_CR17 publication-title: Autom Constr doi: 10.1016/j.autcon.2017.12.016 – volume: 22 start-page: 414 year: 2012 ident: 9504_CR105 publication-title: Autom Constr doi: 10.1016/j.autcon.2011.10.003 – volume: 18 start-page: 294 issue: 3 year: 2009 ident: 9504_CR114 publication-title: Autom Constr doi: 10.1016/j.autcon.2008.09.004 – volume: 28 start-page: 37 issue: 1 year: 2014 ident: 9504_CR116 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2013.11.002 – volume: 32 start-page: 05016001 issue: 3 year: 2016 ident: 9504_CR52 publication-title: J Manag Eng doi: 10.1061/(ASCE)ME.1943-5479.0000422 – volume: 72 start-page: 129 year: 2016 ident: 9504_CR63 publication-title: Autom Constr doi: 10.1016/j.autcon.2016.08.039 – volume: 29 start-page: B4014008 issue: 4 year: 2015 ident: 9504_CR19 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000392 – volume: 99 start-page: 168 year: 2019 ident: 9504_CR82 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.12.014 – volume: 29 start-page: 211 issue: 2 year: 2015 ident: 9504_CR3 publication-title: Adv Eng Inform doi: 10.1016/j.aei.2015.01.011 – volume: 29 start-page: 04014071 issue: 5 year: 2015 ident: 9504_CR75 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000381 – volume-title: Computer vision: a modern approach year: 2002 ident: 9504_CR2 – volume: 19 start-page: 844 issue: 7 year: 2010 ident: 9504_CR32 publication-title: Autom Constr doi: 10.1016/j.autcon.2010.03.003 – volume: 68 start-page: 95 year: 2016 ident: 9504_CR94 publication-title: Autom Constr doi: 10.1016/j.autcon.2016.04.009 – volume: 98 start-page: 146 year: 2019 ident: 9504_CR97 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.11.017 – volume: 27 start-page: 635 issue: 6 year: 2013 ident: 9504_CR37 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000279 – volume: 137 start-page: 863 issue: 10 year: 2011 ident: 9504_CR123 publication-title: J Constr Eng Manag doi: 10.1061/(ASCE)CO.1943-7862.0000287 – volume: 94 start-page: 1 year: 2018 ident: 9504_CR111 publication-title: Autom Constr doi: 10.1016/j.autcon.2018.05.033 – volume: 31 start-page: 04016058 issue: 2 year: 2017 ident: 9504_CR40 publication-title: J Comput Civ Eng doi: 10.1061/(ASCE)CP.1943-5487.0000628
SSID	ssj0054992
Score	2.650069
Snippet	Computer vision has been gaining interest in a wide range of research areas in recent years, from medical to industrial robotics. The architecture, engineering...
SourceID	proquest crossref springer
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	3383
SubjectTerms	Clutter Computer vision Construction sites Decision making Engineering Facilities management Industrial robots Manufacturing engineering Mathematical and Computational Engineering Medical research Original Paper Robotics Vision systems
Title	Computer Vision Techniques in Construction: A Critical Review
URI	https://link.springer.com/article/10.1007/s11831-020-09504-3 https://www.proquest.com/docview/2558107949
Volume	28
WOSCitedRecordID	wos000579701700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAVX databaseName: Springer Nature - Connect here FIRST to enable access customDbUrl: eissn: 1886-1784 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0054992 issn: 1134-3060 databaseCode: RSV dateStart: 19970101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LSwMxEB60etCD1apYrZKDN13Y3Wx3E8FDEYunIlpLb8vmBQWp4hZ_v5M0cVVU0HMehEkm832ZzAzAqUkNNf1cR4JneZQpqSLEcTRiMpV5ynNVKeGKTRSjEZtO-a0PCqvDb_fgknQ3dRPshqcPqS_SHYQF9j1_FdbQ3DGrjnf3k3D_WsLjfJwJtW_-eexDZb6f47M5ajDmF7eoszbD9v_WuQ1bHl2SwfI47MCKnneg7ZEm8Xpcd2DzQxrCXbgMpR3IxEWak3FI7FqT2ZzYmp4hy-wFGZBQHYEs_Qp78DC8Hl_dRL6sQiRR3xZRJnJTZEakFWIRxVRSFYmIEcdwtN-CJTZDYWWSougnSvNYyESlsaIU0YBBehXTfWjNn-b6AAhF-FHhmMoIpHmKMRMzLas-5xnXOs-6kATpltLnHLelLx7LJluylVaJ0iqdtErahbP3Mc_LjBu_9u6FTSu99tUl0iSGtBYX0YXzsElN88-zHf6t-xFspPaLi_sP2IMW7oU-hnX5upjVLyfuVL4BblHYZA
linkProvider	Springer Nature
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bS8MwFD7oFNQHp1NxOjUPvmmhabq2EXwY4pg4h-gcewtN0sBAqtjh7_eka5yKCvqcC-Hkcr4v5wZwbALDTDvKPMnDyAu10h7iOOYlKlBRwCOdalkWm4gHg2Q85rdVUFjhvN2dSbJ8qefBbnj6kPoi3UFYYP_zF2EpRI1lHfnu7kfu_bWEp7RxUmb__CO_CpX5fo7P6miOMb-YRUtt063_b50bsF6hS9KZHYdNWMjyBtQrpEmqe1w0YO1DGsItOHelHciojDQnQ5fYtSCTnNiani7L7BnpEFcdgczsCtvw0L0cXvS8qqyCp_C-Tb1QRiYOjQxSxCI60TSNqfQRx3DU3zKhNkNhamgct6nOuC8V1YGvGUM0YJBe-WwHavlTnu0CYQg_UhyTGok0TyeJ8ZNMpW3OQ55lUdgE6qQrVJVz3Ja-eBTzbMlWWgKlJUppCdaEk_cxz7OMG7_2brlNE9XtKwTSpARpLS6iCaduk-bNP8-297fuR7DSG970Rf9qcL0Pq4F1dyl9A1tQw33JDmBZvU4nxctheULfAJvg20g
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3fS8MwED50iuiD06k4nZoH37Ssabr-EHwY6lCUMXCOvZU2P2Agddjh3-8lbdwUFcTnJiFcLs335XLfAZwqTzHVCaSTxX7g-IILB3EccyLu8cCLA5GKzBSbCPv9aDyOBwtZ_Oa1uw1JljkNWqUpn7WnQrXniW_oiUiDkfogRNB3-8uw4uuiQZqvP47sv1iTHxPvpEzf_wdulTbz_Rifj6Y53vwSIjUnT6_-_zlvwWaFOkm3dJNtWJJ5A-oVAiXV_i4asLEgT7gDl7bkAxmZDHQytIKvBZnkRNf6tOqzF6RLbNUEUsYbduGpdzO8unWqcgsOx304c_wsUKGvMi9FjCIiQdOQZi7imxjP9SyiWrkwVTQMO1TI2M04FZ4rGEOUoJB2uWwPavlLLveBMIQlKfZJVYb0T0SRciPJ004c-7GUgd8Eai2d8EqLXJfEeE7mKsraWglaKzHWSlgTzj76TEsljl9bt-wCJtWuLBKkTxHSXZxEE87tgs0__zzawd-an8Da4LqXPNz17w9h3dOvYMyTwRbUcFnkEazyt9mkeD02zvoO5lHkLA
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Computer+Vision+Techniques+in+Construction%3A+A+Critical+Review&rft.jtitle=Archives+of+computational+methods+in+engineering&rft.au=Xu%2C+Shuyuan&rft.au=Wang%2C+Jun&rft.au=Shou%2C+Wenchi&rft.au=Ngo%2C+Tuan&rft.date=2021-08-01&rft.pub=Springer+Netherlands&rft.issn=1134-3060&rft.eissn=1886-1784&rft.volume=28&rft.issue=5&rft.spage=3383&rft.epage=3397&rft_id=info:doi/10.1007%2Fs11831-020-09504-3&rft.externalDocID=10_1007_s11831_020_09504_3
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1134-3060&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1134-3060&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1134-3060&client=summon