Semi-automated generation of parametric BIM for steel structures based on terrestrial laser scanning data
As-built building information models (BIMs) are increasingly needed for construction project handover and facility management. To create as-built BIMs, laser scanning technology has gained popularity in the recent decades due to its high measurement accuracy and high measurement speed. However, most...
Uložené v:
| Vydané v: | Automation in construction Ročník 112; s. 103037 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Amsterdam
Elsevier B.V
01.04.2020
Elsevier BV |
| Predmet: | |
| ISSN: | 0926-5805, 1872-7891 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | As-built building information models (BIMs) are increasingly needed for construction project handover and facility management. To create as-built BIMs, laser scanning technology has gained popularity in the recent decades due to its high measurement accuracy and high measurement speed. However, most existing methods for creating as-built BIMs from laser scanning data involve plenty of manual work, thus becoming labor intensive and time consuming. To address the problems, this study presents a semi-automated approach that can obtain required parameters to create as-built BIMs for steel structures with complex connections from terrestrial laser scanning data. An algorithm based on principal component analysis (PCA) and cross-section fitting techniques is developed to retrieve the position and direction of each circular structural component from scanning data. An image-assisted edge point extraction algorithm is developed to effectively extract the boundaries of planar structural components. Normal-based region growing algorithm and random sample consensus (RANSAC) algorithm are adopted to model the connections between structural components. The proposed approach was validated on a bridge-like steel structure with four different types of structural components. The extracted as-built geometry was compared with the as-designed geometry to validate the accuracy of the proposed approach. The results showed that the proposed approach could efficiently and accurately extract the geometry information and generate parametric BIMs of steel structures.
•Extracting the geometry information for irregular-shaped complex structure•Proposing an automated BIM model generation process using Dynamo•PCA and cross-section fitting based technique to retrieve position and direction•Developing an image-assisted edge point extraction algorithm to extract boundaries•Combing Normal-based region growing and RANSAC to extract connections |
|---|---|
| AbstractList | As-built building information models (BIMs) are increasingly needed for construction project handover and facility management. To create as-built BIMs, laser scanning technology has gained popularity in the recent decades due to its high measurement accuracy and high measurement speed. However, most existing methods for creating as-built BIMs from laser scanning data involve plenty of manual work, thus becoming labor intensive and time consuming. To address the problems, this study presents a semi-automated approach that can obtain required parameters to create as-built BIMs for steel structures with complex connections from terrestrial laser scanning data. An algorithm based on principal component analysis (PCA) and cross-section fitting techniques is developed to retrieve the position and direction of each circular structural component from scanning data. An image-assisted edge point extraction algorithm is developed to effectively extract the boundaries of planar structural components. Normal-based region growing algorithm and random sample consensus (RANSAC) algorithm are adopted to model the connections between structural components. The proposed approach was validated on a bridge-like steel structure with four different types of structural components. The extracted as-built geometry was compared with the as-designed geometry to validate the accuracy of the proposed approach. The results showed that the proposed approach could efficiently and accurately extract the geometry information and generate parametric BIMs of steel structures. As-built building information models (BIMs) are increasingly needed for construction project handover and facility management. To create as-built BIMs, laser scanning technology has gained popularity in the recent decades due to its high measurement accuracy and high measurement speed. However, most existing methods for creating as-built BIMs from laser scanning data involve plenty of manual work, thus becoming labor intensive and time consuming. To address the problems, this study presents a semi-automated approach that can obtain required parameters to create as-built BIMs for steel structures with complex connections from terrestrial laser scanning data. An algorithm based on principal component analysis (PCA) and cross-section fitting techniques is developed to retrieve the position and direction of each circular structural component from scanning data. An image-assisted edge point extraction algorithm is developed to effectively extract the boundaries of planar structural components. Normal-based region growing algorithm and random sample consensus (RANSAC) algorithm are adopted to model the connections between structural components. The proposed approach was validated on a bridge-like steel structure with four different types of structural components. The extracted as-built geometry was compared with the as-designed geometry to validate the accuracy of the proposed approach. The results showed that the proposed approach could efficiently and accurately extract the geometry information and generate parametric BIMs of steel structures. •Extracting the geometry information for irregular-shaped complex structure•Proposing an automated BIM model generation process using Dynamo•PCA and cross-section fitting based technique to retrieve position and direction•Developing an image-assisted edge point extraction algorithm to extract boundaries•Combing Normal-based region growing and RANSAC to extract connections |
| ArticleNumber | 103037 |
| Author | Wang, Qian Cheng, Jack C.P. Yang, Liu |
| Author_xml | – sequence: 1 givenname: Liu surname: Yang fullname: Yang, Liu organization: Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China – sequence: 2 givenname: Jack C.P. surname: Cheng fullname: Cheng, Jack C.P. email: cejcheng@ust.hk organization: Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China – sequence: 3 givenname: Qian surname: Wang fullname: Wang, Qian organization: Department of Building, National University of Singapore, Singapore |
| BookMark | eNqFkMFO3DAQhq2KSiy0b8DBUs9ZxrETJz1UalELSCAOhbM1cSbIq6y9tZ1KvH1Nw4kDXGx59H0znv-EHfngibEzAVsBoj3fbXHJNvhtDaIvJQlSf2Ab0em60l0vjtgG-rqtmg6aY3aS0g4ANLT9hrnftHdV0cMeM438kTxFzC54HiZ-wIh7ytFZ_uP6lk8h8pSJ5nLGxeYlUuIDpuIVPlMs7wLjzOdSLKxF751_5CNm_MQ-Tjgn-vxyn7KHXz_vL66qm7vL64vvN5WVUuWqRgFTNzViGqgnQbrDvtVt2yklJ4CxRhxRC9A46FbCgCSF0krWqiXVDZ08ZV_WvocY_izlQ2YXlujLSFMr2YPSTd8U6utK2RhSijQZ6_L_vXNENxsB5jlaszNrtOY5WrNGW2T1Sj5Et8f49J72bdWorP_XUTTJOvKWRhfJZjMG93aDf8TvmBs |
| CitedBy_id | crossref_primary_10_1111_mice_13288 crossref_primary_10_1177_13694332231218764 crossref_primary_10_3390_buildings15132213 crossref_primary_10_1016_j_autcon_2024_105700 crossref_primary_10_1016_j_autcon_2022_104697 crossref_primary_10_1016_j_autcon_2024_105543 crossref_primary_10_3390_rs15081961 crossref_primary_10_36680_j_itcon_2025_045 crossref_primary_10_1016_j_daach_2023_e00287 crossref_primary_10_3390_math12203285 crossref_primary_10_3390_buildings10090150 crossref_primary_10_1007_s12517_021_07623_0 crossref_primary_10_3390_rs16132263 crossref_primary_10_1109_JSTARS_2021_3068796 crossref_primary_10_1016_j_engfailanal_2024_108583 crossref_primary_10_1016_j_aei_2025_103344 crossref_primary_10_1111_mice_12766 crossref_primary_10_1007_s44150_021_00008_7 crossref_primary_10_3390_rs15030556 crossref_primary_10_1088_1742_6596_2479_1_012028 crossref_primary_10_1155_2023_6192001 crossref_primary_10_1016_j_istruc_2022_11_122 crossref_primary_10_1016_j_autcon_2025_106335 crossref_primary_10_3390_buildings15132154 crossref_primary_10_1108_JFM_12_2020_0097 crossref_primary_10_1016_j_engstruct_2024_118126 crossref_primary_10_1007_s13369_022_07172_y crossref_primary_10_1061_JMENEA_MEENG_5143 crossref_primary_10_1016_j_autcon_2022_104308 crossref_primary_10_1016_j_spc_2023_12_017 crossref_primary_10_1016_j_autcon_2021_103615 crossref_primary_10_3390_rs13030461 crossref_primary_10_1109_TIM_2025_3600707 crossref_primary_10_3390_buildings12091439 crossref_primary_10_1088_1361_6501_ad824a crossref_primary_10_1007_s13349_024_00830_9 crossref_primary_10_3390_jimaging7050085 crossref_primary_10_1061__ASCE_AE_1943_5568_0000564 crossref_primary_10_1007_s11831_025_10280_1 crossref_primary_10_1016_j_autcon_2022_104167 crossref_primary_10_1016_j_autcon_2023_104866 crossref_primary_10_3390_buildings14030747 crossref_primary_10_3390_buildings14092847 crossref_primary_10_3390_buildings12060713 crossref_primary_10_1016_j_jobe_2022_104318 crossref_primary_10_1108_SASBE_03_2021_0044 crossref_primary_10_1007_s13349_021_00525_5 crossref_primary_10_1016_j_jobe_2021_102877 crossref_primary_10_3390_robotics11030054 crossref_primary_10_3390_buildings12101754 crossref_primary_10_1016_j_jobe_2023_108017 crossref_primary_10_1016_j_autcon_2022_104130 crossref_primary_10_1016_j_measurement_2025_116962 crossref_primary_10_1016_j_autcon_2021_103561 crossref_primary_10_3390_ijerph18116135 crossref_primary_10_1016_j_autcon_2023_105101 crossref_primary_10_1016_j_autcon_2023_105225 crossref_primary_10_1061_JCEMD4_COENG_13077 crossref_primary_10_1016_j_autcon_2020_103434 crossref_primary_10_1108_CI_11_2019_0131 crossref_primary_10_3390_rs13112108 crossref_primary_10_1016_j_spc_2025_05_019 crossref_primary_10_1080_14786451_2024_2421281 crossref_primary_10_3390_buildings12101503 crossref_primary_10_3992_jgb_19_2_163 crossref_primary_10_1016_j_autcon_2022_104300 crossref_primary_10_1016_j_aei_2020_101234 crossref_primary_10_1186_s40494_024_01252_y crossref_primary_10_1155_2022_6782822 crossref_primary_10_1016_j_autcon_2021_103673 crossref_primary_10_3390_geomatics3030021 crossref_primary_10_1016_j_autcon_2021_104118 crossref_primary_10_1016_j_autcon_2023_104911 crossref_primary_10_1016_j_jobe_2022_104058 crossref_primary_10_3390_s24216806 crossref_primary_10_3390_buildings13092309 crossref_primary_10_1016_j_engstruct_2025_120324 crossref_primary_10_1016_j_autcon_2025_106416 crossref_primary_10_37155_2811_0730_0302_9 crossref_primary_10_1007_s12517_021_06601_w crossref_primary_10_1016_j_autcon_2023_105126 crossref_primary_10_1061_JCEMD4_COENG_13020 crossref_primary_10_1016_j_autcon_2023_104949 crossref_primary_10_1016_j_autcon_2025_106091 crossref_primary_10_33764_2411_1759_2025_30_4_5_14 crossref_primary_10_1061_JCEMD4_COENG_14989 crossref_primary_10_1016_j_advengsoft_2024_103673 crossref_primary_10_1016_j_autcon_2023_104780 crossref_primary_10_3390_rs12223796 crossref_primary_10_3390_rs14205152 crossref_primary_10_3390_rs15112806 crossref_primary_10_1016_j_measurement_2024_115321 crossref_primary_10_3390_su12229494 crossref_primary_10_1016_j_autcon_2024_105931 crossref_primary_10_1016_j_autcon_2021_103654 crossref_primary_10_1061_JMENEA_MEENG_5600 crossref_primary_10_1061__ASCE_ME_1943_5479_0001055 crossref_primary_10_1155_2022_6286420 crossref_primary_10_1515_jag_2022_0058 |
| Cites_doi | 10.1016/j.aei.2015.01.001 10.1145/508352.508354 10.1007/978-3-319-91635-4_6 10.1016/j.autcon.2014.02.021 10.1016/j.autcon.2018.03.034 10.1061/(ASCE)LM.1943-5630.0000127 10.1016/j.autcon.2011.05.023 10.1016/j.aei.2015.01.009 10.1016/j.aei.2016.03.005 10.1006/cviu.2000.0889 10.1016/j.cad.2009.01.002 10.1061/(ASCE)CP.1943-5487.0000329 10.1016/j.autcon.2017.10.033 10.1016/j.autcon.2014.07.009 10.1016/j.autcon.2016.05.010 10.1016/j.autcon.2016.12.002 10.1145/358669.358692 10.1061/(ASCE)CP.1943-5487.0000754 10.1016/j.autcon.2019.01.009 10.1016/j.aei.2013.03.005 10.1016/j.aei.2018.05.005 10.1016/j.autcon.2015.04.001 10.1016/j.autcon.2014.05.015 10.1061/(ASCE)CP.1943-5487.0000652 10.1016/j.autcon.2016.03.014 10.1016/j.aei.2017.10.001 10.5194/isprsarchives-XL-5-W4-345-2015 10.1016/j.aei.2019.100965 10.1111/mice.12293 10.1016/S0921-8890(03)00007-1 10.1016/j.autcon.2011.04.016 10.1061/(ASCE)CO.1943-7862.0000565 10.1016/j.proeng.2016.04.178 10.1016/j.autcon.2010.06.007 10.1016/j.robot.2004.06.002 10.1002/9781119287568 10.1016/j.cag.2015.07.008 10.1061/(ASCE)CP.1943-5487.0000616 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier B.V. Copyright Elsevier BV Apr 2020 |
| Copyright_xml | – notice: 2019 Elsevier B.V. – notice: Copyright Elsevier BV Apr 2020 |
| DBID | AAYXX CITATION 7SC 7SP 8FD FR3 JQ2 KR7 L7M L~C L~D |
| DOI | 10.1016/j.autcon.2019.103037 |
| DatabaseName | CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database Engineering Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Civil Engineering Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Civil Engineering Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Economics Engineering |
| EISSN | 1872-7891 |
| ExternalDocumentID | 10_1016_j_autcon_2019_103037 S092658051930322X |
| GroupedDBID | --K --M .~1 0R~ 1B1 1~. 1~5 23N 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AAXUO ABFNM ABMAC ABXDB ABYKQ ACDAQ ACGFS ACIWK ACNNM ACRLP ADBBV ADEZE ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ APLSM ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HVGLF HZ~ IHE J1W JJJVA KOM LY7 M41 MO0 N9A NEJ O-L O9- OAUVE OZT P-8 P-9 P2P PC. PQQKQ Q38 R2- RIG RNS ROL RPZ SDF SDG SDP SES SET SEW SPC SPCBC SSB SSD SST SSZ T5K WUQ ZMT ~G- 9DU AATTM AAXKI AAYWO AAYXX ABJNI ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD 7SC 7SP 8FD FR3 JQ2 KR7 L7M L~C L~D |
| ID | FETCH-LOGICAL-c334t-2a10f8f51fbe9e1e78a967668443f00d2aada7107ab7630bae314743246e48b83 |
| ISICitedReferencesCount | 112 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000526785600030&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0926-5805 |
| IngestDate | Sun Nov 09 06:17:15 EST 2025 Sat Nov 29 07:18:22 EST 2025 Tue Nov 18 22:23:44 EST 2025 Fri Feb 23 02:48:24 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Building information model (BIM) Terrestrial laser scanning As-built geometric modeling |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c334t-2a10f8f51fbe9e1e78a967668443f00d2aada7107ab7630bae314743246e48b83 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 2439047595 |
| PQPubID | 2045277 |
| ParticipantIDs | proquest_journals_2439047595 crossref_citationtrail_10_1016_j_autcon_2019_103037 crossref_primary_10_1016_j_autcon_2019_103037 elsevier_sciencedirect_doi_10_1016_j_autcon_2019_103037 |
| PublicationCentury | 2000 |
| PublicationDate | April 2020 2020-04-00 20200401 |
| PublicationDateYYYYMMDD | 2020-04-01 |
| PublicationDate_xml | – month: 04 year: 2020 text: April 2020 |
| PublicationDecade | 2020 |
| PublicationPlace | Amsterdam |
| PublicationPlace_xml | – name: Amsterdam |
| PublicationTitle | Automation in construction |
| PublicationYear | 2020 |
| Publisher | Elsevier B.V Elsevier BV |
| Publisher_xml | – name: Elsevier B.V – name: Elsevier BV |
| References | Campbell, Flynn (bb0195) 2001; 81 Toth, Petrie (bb0020) 2018 Sacks, Eastman, Lee, Teicholz (bb0010) 2018 Suleiman, Joliveau, Favier (bb0105) 2011 Ochmann, Vock, Wessel, Klein (bb0185) 2016; 54 Bentley, AECOsim Building Designer Petitjean (bb0150) 2002; 34 Xue, Lu, Chen, Webster (bb0190) 2019; 42 Jung, Hong, Jeong, Kim, Cho, Hong, Heo (bb0060) 2014; 42 Sharifi, Fathy, Mahmoudi (bb0305) 2002 Hoffman (bb0245) 2005; 101 Autodesk, Autodesk Recap (bb0235) 2019 Chen, Fang, Cho (bb0200) 2018; 86 Wang, Cheng, Sohn (bb0275) 2017; 32 Verma, Kumar, Hsu (bb0135) 2006 Yu, Morel (bb0110) 2011 Bauer, Polthier (bb0160) 2009; 41 Budroni, Böhm, V.o.C. Architectures (bb0050) 2009 (2015). Ham, Golparvar-Fard (bb0095) 2015; 49 (2019), Accessed Date: . GRAPHISOFT®, ARCHICAD (bb0210) 2019 Ahmed, Haas, Haas (bb0065) 2014; 28 . Jolliffe (bb0270) 2002 Coorg, Teller (bb0055) 1999 Azhar (bb0005) 2011; 11 Zhang, Vela, Karasev, Brilakis (bb0045) 2014 Nevado, García Bermejo, Casanova (bb0035) 2004; 48 Ester, Kriegel, Sander, Xu (bb0315) 1996 Trimble, Tekla BIMsight (bb0220) 2019 Patil, Holi, Lee, Chai (bb0330) 2017; 75 Fischler, Bolles (bb0310) 1981; 24 Ham, Golparvar-Fard (bb0090) 2013; 27 FARO, FARO SCENE (bb0320) 2019 Zhang, Vela, Brilakis (bb0040) 2014 Kim, Sohn, Chang (bb0290) 2014; 45 Agapaki, Brilakis (bb0070) 2017 Ma, Liu (bb0100) 2018; 37 Author, AISI S240-15 north American standard for cold-formed steel structural framing Pratt (bb0280) 1987 Tang, Huber, Akinci, Lipman, Lytle (bb0165) 2010; 19 CloudCompare, CloudCompare (bb0260) 2019 Golparvar-Fard, Bohn, Teizer, Savarese, Peña-Mora (bb0115) 2011; 20 Autodesk, Revit® BIM software (bb0075) 2019 Son, Bosché, Kim (bb0240) 2015; 29 Son, Kim (bb0175) 2017; 34 Barazzetti (bb0155) 2016; 30 Klein, Li, Becerik-Gerber (bb0335) 2012; 21 Mathew, Amin (bb0325) 2018 ClearEdge3D, EdgeWise (bb0250) 2019 Son, Kim (bb0170) 2016; 68 Rabbani, Van Den Heuvel, Vosselmann (bb0285) 2006 Khaloo, Lattanzi (bb0125) 2017; 31 Pătrăucean, Armeni, Nahangi, Yeung, Brilakis, Haas (bb0025) 2015; 29 Lu, Lee (bb0085) 2017; 31 Dai, Rashidi, Brilakis, Vela (bb0120) 2013; 139 Barazzetti, Banfi, Brumana, Oreni, Previtali, Roncoroni, Gusmeroli, Schiantarelli (bb0225) 2015 Wang, Sohn, Cheng (bb0300) 2019; 101 FARO, FARO PointSense (bb0255) 2019 Lu, Lee, Chen (bb0130) 2018; 92 Wang, Cho, Kim (bb0180) 2015; 56 Wang, Kim, Cheng, Sohn (bb0295) 2016; 68 Wang, Sohn, Cheng (bb0140) 2018; 32 MathWorks, MATLAB (bb0265) 2019 Kalyan, Zadeh, Staub-French, Froese (bb0205) 2016; 145 Quattrini, Malinverni, Clini, Nespeca, Orlietti (bb0230) 2015 Woo, Wilsmann, Kang (bb0015) 2010 E. Agapaki, I. Brilakis, State-of-Practice on As-Is Modelling of Industrial Facilities, Advanced Computing Strategies for Engineering, Cham, 2018, pp. 103–124. https://doi.org Hähnel, Burgard, Thrun (bb0030) 2003; 44 Autodesk, Dynamo (bb0080) 2019 Autodesk, Autodesk Recap (10.1016/j.autcon.2019.103037_bb0235) 10.1016/j.autcon.2019.103037_bb0340 Verma (10.1016/j.autcon.2019.103037_bb0135) 2006 Rabbani (10.1016/j.autcon.2019.103037_bb0285) 2006 Ham (10.1016/j.autcon.2019.103037_bb0090) 2013; 27 10.1016/j.autcon.2019.103037_bb0145 Klein (10.1016/j.autcon.2019.103037_bb0335) 2012; 21 Ham (10.1016/j.autcon.2019.103037_bb0095) 2015; 49 Budroni (10.1016/j.autcon.2019.103037_bb0050) 2009 Wang (10.1016/j.autcon.2019.103037_bb0180) 2015; 56 Wang (10.1016/j.autcon.2019.103037_bb0295) 2016; 68 Son (10.1016/j.autcon.2019.103037_bb0175) 2017; 34 Suleiman (10.1016/j.autcon.2019.103037_bb0105) 2011 Xue (10.1016/j.autcon.2019.103037_bb0190) 2019; 42 Sharifi (10.1016/j.autcon.2019.103037_bb0305) 2002 Azhar (10.1016/j.autcon.2019.103037_bb0005) 2011; 11 Jung (10.1016/j.autcon.2019.103037_bb0060) 2014; 42 Dai (10.1016/j.autcon.2019.103037_bb0120) 2013; 139 Ester (10.1016/j.autcon.2019.103037_bb0315) 1996 Patil (10.1016/j.autcon.2019.103037_bb0330) 2017; 75 Zhang (10.1016/j.autcon.2019.103037_bb0045) 2014 Autodesk, Revit® BIM software (10.1016/j.autcon.2019.103037_bb0075) Ma (10.1016/j.autcon.2019.103037_bb0100) 2018; 37 Tang (10.1016/j.autcon.2019.103037_bb0165) 2010; 19 Coorg (10.1016/j.autcon.2019.103037_bb0055) 1999 Lu (10.1016/j.autcon.2019.103037_bb0085) 2017; 31 Wang (10.1016/j.autcon.2019.103037_bb0300) 2019; 101 Toth (10.1016/j.autcon.2019.103037_bb0020) 2018 Son (10.1016/j.autcon.2019.103037_bb0170) 2016; 68 GRAPHISOFT®, ARCHICAD (10.1016/j.autcon.2019.103037_bb0210) Jolliffe (10.1016/j.autcon.2019.103037_bb0270) 2002 Nevado (10.1016/j.autcon.2019.103037_bb0035) 2004; 48 Fischler (10.1016/j.autcon.2019.103037_bb0310) 1981; 24 Yu (10.1016/j.autcon.2019.103037_bb0110) 2011 Kalyan (10.1016/j.autcon.2019.103037_bb0205) 2016; 145 Wang (10.1016/j.autcon.2019.103037_bb0275) 2017; 32 Pratt (10.1016/j.autcon.2019.103037_bb0280) 1987 Bauer (10.1016/j.autcon.2019.103037_bb0160) 2009; 41 Barazzetti (10.1016/j.autcon.2019.103037_bb0155) 2016; 30 Kim (10.1016/j.autcon.2019.103037_bb0290) 2014; 45 Hähnel (10.1016/j.autcon.2019.103037_bb0030) 2003; 44 Agapaki (10.1016/j.autcon.2019.103037_bb0070) 2017 Pătrăucean (10.1016/j.autcon.2019.103037_bb0025) 2015; 29 CloudCompare, CloudCompare (10.1016/j.autcon.2019.103037_bb0260) Khaloo (10.1016/j.autcon.2019.103037_bb0125) 2017; 31 MathWorks, MATLAB (10.1016/j.autcon.2019.103037_bb0265) Hoffman (10.1016/j.autcon.2019.103037_bb0245) 2005; 101 FARO, FARO PointSense (10.1016/j.autcon.2019.103037_bb0255) Zhang (10.1016/j.autcon.2019.103037_bb0040) 2014 Trimble, Tekla BIMsight (10.1016/j.autcon.2019.103037_bb0220) Campbell (10.1016/j.autcon.2019.103037_bb0195) 2001; 81 Sacks (10.1016/j.autcon.2019.103037_bb0010) 2018 Wang (10.1016/j.autcon.2019.103037_bb0140) 2018; 32 Autodesk, Dynamo (10.1016/j.autcon.2019.103037_bb0080) Barazzetti (10.1016/j.autcon.2019.103037_bb0225) 2015 FARO, FARO SCENE (10.1016/j.autcon.2019.103037_bb0320) Petitjean (10.1016/j.autcon.2019.103037_bb0150) 2002; 34 Ochmann (10.1016/j.autcon.2019.103037_bb0185) 2016; 54 Ahmed (10.1016/j.autcon.2019.103037_bb0065) 2014; 28 10.1016/j.autcon.2019.103037_bb0215 Quattrini (10.1016/j.autcon.2019.103037_bb0230) 2015 Son (10.1016/j.autcon.2019.103037_bb0240) 2015; 29 Golparvar-Fard (10.1016/j.autcon.2019.103037_bb0115) 2011; 20 Woo (10.1016/j.autcon.2019.103037_bb0015) 2010 Chen (10.1016/j.autcon.2019.103037_bb0200) 2018; 86 Lu (10.1016/j.autcon.2019.103037_bb0130) 2018; 92 ClearEdge3D, EdgeWise (10.1016/j.autcon.2019.103037_bb0250) Mathew (10.1016/j.autcon.2019.103037_bb0325) |
| References_xml | – start-page: 1 year: 2014 end-page: 18 ident: bb0045 article-title: A sparsity-inducing optimization-based algorithm for planar patches extraction from noisy point-cloud data publication-title: Computer-Aided Civil and Infrastructure Engineering – reference: E. Agapaki, I. Brilakis, State-of-Practice on As-Is Modelling of Industrial Facilities, Advanced Computing Strategies for Engineering, Cham, 2018, pp. 103–124. https://doi.org/ – volume: 139 start-page: 69 year: 2013 end-page: 79 ident: bb0120 article-title: Comparison of image-based and time-of-flight-based Technologies for Three-Dimensional Reconstruction of infrastructure publication-title: J. Constr. Eng. Manag. – year: 2002 ident: bb0270 article-title: Principal Component Analysis – volume: 86 start-page: 44 year: 2018 end-page: 52 ident: bb0200 article-title: Performance evaluation of 3D descriptors for object recognition in construction applications publication-title: Autom. Constr. – start-page: 226 year: 1996 end-page: 231 ident: bb0315 article-title: A Density-based Algorithm for Discovering Clusters in Large Spatial Databases With Noise, Kdd – volume: 101 start-page: 59 year: 2019 end-page: 71 ident: bb0300 article-title: Development of high-accuracy edge line estimation algorithms using terrestrial laser scanning publication-title: Autom. Constr. – year: 2019 ident: bb0260 – volume: 29 start-page: 162 year: 2015 end-page: 171 ident: bb0025 article-title: State of research in automatic as-built modelling publication-title: Adv. Eng. Inform. – volume: 48 start-page: 131 year: 2004 end-page: 143 ident: bb0035 article-title: Obtaining 3D models of indoor environments with a mobile robot by estimating local surface directions publication-title: Robot. Auton. Syst. – volume: 42 start-page: 68 year: 2014 end-page: 77 ident: bb0060 article-title: Productive modeling for development of as-built BIM of existing indoor structures publication-title: Autom. Constr. – volume: 45 start-page: 163 year: 2014 end-page: 177 ident: bb0290 article-title: Automated dimensional quality assessment of precast concrete panels using terrestrial laser scanning publication-title: Autom. Constr. – start-page: 11 year: 2011 end-page: 38 ident: bb0110 article-title: ASIFT: An Algorithm for Fully Affine Invariant Comparison Image Processing on Line 1 – start-page: 2213 year: 2006 end-page: 2220 ident: bb0135 article-title: 3D building detection and modeling from aerial LIDAR data publication-title: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) – volume: 32 year: 2018 ident: bb0140 article-title: Automatic as-built BIM creation of precast concrete bridge deck panels using laser scan data publication-title: J. Comput. Civ. Eng. – start-page: 117 year: 2002 end-page: 120 ident: bb0305 article-title: A classified and comparative study of edge detection algorithms publication-title: Proceedings of International Conference on Information Technology: Coding and Computing, Las Vegas, NV, USA, USA – volume: 37 start-page: 163 year: 2018 end-page: 174 ident: bb0100 article-title: A review of 3D reconstruction techniques in civil engineering and their applications publication-title: Adv. Eng. Inform. – volume: 54 start-page: 94 year: 2016 end-page: 103 ident: bb0185 article-title: Automatic reconstruction of parametric building models from indoor point clouds publication-title: Comput. Graph. – volume: 92 start-page: 68 year: 2018 end-page: 87 ident: bb0130 article-title: Image-driven fuzzy-based system to construct as-is IFC BIM objects publication-title: Autom. Constr. – reference: (2015). – year: 2019 ident: bb0080 – year: 2019 ident: bb0075 – start-page: 36 year: 2009 ident: bb0050 article-title: Toward automatic reconstruction of interiors from laser data publication-title: Proceedings of Virtual Reconstruction and Visualization of Complex Architectures (3D-ARCH), Trento, Italy – volume: 20 start-page: 1143 year: 2011 end-page: 1155 ident: bb0115 article-title: Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques publication-title: Autom. Constr. – start-page: 248 year: 2006 end-page: 253 ident: bb0285 article-title: Segmentation of point clouds using smoothness constraint publication-title: Proceedings of the ISPRS Commission V Symposium, Dresden, Germany – volume: 44 start-page: 15 year: 2003 end-page: 27 ident: bb0030 article-title: Learning compact 3D models of indoor and outdoor environments with a mobile robot publication-title: Robot. Auton. Syst. – start-page: 345 year: 2015 end-page: 350 ident: bb0225 article-title: BIM from laser clouds and finite element analysis: combining structural analysis and geometric complexity publication-title: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – volume: 34 start-page: 211 year: 2002 end-page: 262 ident: bb0150 article-title: A survey of methods for recovering quadrics in triangle meshes publication-title: ACM Computing Surveys (CSUR) – year: 2019 ident: bb0210 – reference: (2019), Accessed Date: . – volume: 68 start-page: 203 year: 2016 end-page: 211 ident: bb0170 article-title: Automatic segmentation and 3D modeling of pipelines into constituent parts from laser-scan data of the built environment publication-title: Autom. Constr. – year: 2018 ident: bb0010 article-title: BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers – start-page: 406 year: 2014 end-page: 413 ident: bb0040 article-title: Automatic generation of as-built geometric civil infrastructure models from point cloud data publication-title: Proceedings of the 2014 International Conference on Computing in Civil and Building Orlando, Florida, US – year: 2015 ident: bb0230 article-title: From TLS to HBIM: high quality sematically aware 3D modeling of complex architecture publication-title: International Archives of the Photogrammetry – start-page: 4 year: 2017 end-page: 6 ident: bb0070 article-title: Prioritising object types of industrial facilities to reduce as-is modelling time publication-title: Proceeding of the 33rd Annual ARCOM Conference, Cambridge, UK – volume: 19 start-page: 829 year: 2010 end-page: 843 ident: bb0165 article-title: Automatic reconstruction of as-built building information models from laser-scanned point clouds: a review of related techniques publication-title: Autom. Constr. – volume: 81 start-page: 166 year: 2001 end-page: 210 ident: bb0195 article-title: A survey of free-form object representation and recognition techniques publication-title: Comput. Vis. Image Underst. – volume: 145 start-page: 1416 year: 2016 end-page: 1423 ident: bb0205 article-title: Construction quality assessment using 3D as-built models generated with Project Tango publication-title: Procedia Engineering – volume: 11 start-page: 241 year: 2011 end-page: 252 ident: bb0005 article-title: Building information modeling (BIM): trends, benefits, risks, and challenges for the AEC industry publication-title: Leadership management in engineering – volume: 101 start-page: 34 year: 2005 end-page: 38 ident: bb0245 article-title: Specifying laser scanning services publication-title: Chem. Eng. Prog. – year: 2019 ident: bb0250 – year: 2018 ident: bb0325 article-title: Optimizing fast-paced scan-to-BIM projects using ReCap, Revit, Navisworks – start-page: 29 year: 2018 end-page: 88 ident: bb0020 article-title: Chapter 2: terrestrial laser scanners publication-title: Topographic Laser Ranging and Scanning – volume: 27 start-page: 395 year: 2013 end-page: 409 ident: bb0090 article-title: An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery publication-title: Adv. Eng. Inform. – year: 2019 ident: bb0235 – start-page: 625 year: 1999 end-page: 632 ident: bb0055 article-title: Extracting textured vertical facades from controlled close-range imagery publication-title: Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) – volume: 24 start-page: 381 year: 1981 end-page: 395 ident: bb0310 article-title: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography publication-title: Commun. ACM – volume: 75 start-page: 65 year: 2017 end-page: 78 ident: bb0330 article-title: An adaptive approach for the reconstruction and modeling of as-built 3D pipelines from point clouds publication-title: Autom. Constr. – volume: 34 start-page: 114 year: 2017 end-page: 124 ident: bb0175 article-title: Semantic as-built 3D modeling of structural elements of buildings based on local concavity and convexity publication-title: Adv. Eng. Inform. – volume: 42 year: 2019 ident: bb0190 article-title: BIM reconstruction from 3D point clouds: a semantic registration approach based on multimodal optimization and architectural design knowledge publication-title: Adv. Eng. Inform. – year: 2019 ident: bb0255 – reference: Bentley, AECOsim Building Designer, – volume: 41 start-page: 719 year: 2009 end-page: 729 ident: bb0160 article-title: Generating parametric models of tubes from laser scans publication-title: Comput. Aided Des. – volume: 56 start-page: 1 year: 2015 end-page: 13 ident: bb0180 article-title: Automatic BIM component extraction from point clouds of existing buildings for sustainability applications publication-title: Autom. Constr. – year: 2019 ident: bb0320 – start-page: 538 year: 2010 end-page: 548 ident: bb0015 article-title: Use of as-built building information modeling publication-title: Construction Research Congress 2010: Innovation for Reshaping Construction Practice – volume: 30 start-page: 298 year: 2016 end-page: 311 ident: bb0155 article-title: Parametric as-built model generation of complex shapes from point clouds publication-title: Adv. Eng. Inform. – reference: Author, AISI S240-15 north American standard for cold-formed steel structural framing, – volume: 32 start-page: 787 year: 2017 end-page: 802 ident: bb0275 article-title: Automated estimation of reinforced precast concrete rebar positions using colored laser scan data publication-title: Computer-Aided Civil and Infrastructure Engineering – volume: 49 start-page: 214 year: 2015 end-page: 224 ident: bb0095 article-title: Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling publication-title: Autom. Constr. – volume: 28 year: 2014 ident: bb0065 article-title: Automatic detection of cylindrical objects in built facilities publication-title: J. Comput. Civ. Eng. – volume: 31 year: 2017 ident: bb0085 article-title: Image-based technologies for constructing as-is building information models for existing buildings publication-title: J. Comput. Civ. Eng. – year: 2011 ident: bb0105 article-title: Buildings recognition and camera localization using image texture description publication-title: SAGEO 2011: International Conference on Geomatics and Spatial Analysis, Paris – reference: . – year: 2019 ident: bb0265 – volume: 31 year: 2017 ident: bb0125 article-title: Hierarchical dense structure-from-motion reconstructions for infrastructure condition assessment publication-title: J. Comput. Civ. Eng. – start-page: 145 year: 1987 end-page: 152 ident: bb0280 article-title: Direct least-squares fitting of algebraic surfaces publication-title: Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques – volume: 29 start-page: 172 year: 2015 end-page: 183 ident: bb0240 article-title: As-built data acquisition and its use in production monitoring and automated layout of civil infrastructure: a survey publication-title: Adv. Eng. Inform. – volume: 21 start-page: 161 year: 2012 end-page: 171 ident: bb0335 article-title: Imaged-based verification of as-built documentation of operational buildings publication-title: Autom. Constr. – volume: 68 start-page: 170 year: 2016 end-page: 182 ident: bb0295 article-title: Automated quality assessment of precast concrete elements with geometry irregularities using terrestrial laser scanning publication-title: Autom. Constr. – year: 2019 ident: bb0220 – year: 2011 ident: 10.1016/j.autcon.2019.103037_bb0105 article-title: Buildings recognition and camera localization using image texture description – volume: 29 start-page: 162 issue: 2 year: 2015 ident: 10.1016/j.autcon.2019.103037_bb0025 article-title: State of research in automatic as-built modelling publication-title: Adv. Eng. Inform. doi: 10.1016/j.aei.2015.01.001 – volume: 34 start-page: 211 issue: 2 year: 2002 ident: 10.1016/j.autcon.2019.103037_bb0150 article-title: A survey of methods for recovering quadrics in triangle meshes publication-title: ACM Computing Surveys (CSUR) doi: 10.1145/508352.508354 – year: 2015 ident: 10.1016/j.autcon.2019.103037_bb0230 article-title: From TLS to HBIM: high quality sematically aware 3D modeling of complex architecture – ident: 10.1016/j.autcon.2019.103037_bb0145 doi: 10.1007/978-3-319-91635-4_6 – volume: 42 start-page: 68 year: 2014 ident: 10.1016/j.autcon.2019.103037_bb0060 article-title: Productive modeling for development of as-built BIM of existing indoor structures publication-title: Autom. Constr. doi: 10.1016/j.autcon.2014.02.021 – volume: 92 start-page: 68 year: 2018 ident: 10.1016/j.autcon.2019.103037_bb0130 article-title: Image-driven fuzzy-based system to construct as-is IFC BIM objects publication-title: Autom. Constr. doi: 10.1016/j.autcon.2018.03.034 – start-page: 4 year: 2017 ident: 10.1016/j.autcon.2019.103037_bb0070 article-title: Prioritising object types of industrial facilities to reduce as-is modelling time – ident: 10.1016/j.autcon.2019.103037_bb0075 – volume: 11 start-page: 241 issue: 3 year: 2011 ident: 10.1016/j.autcon.2019.103037_bb0005 article-title: Building information modeling (BIM): trends, benefits, risks, and challenges for the AEC industry publication-title: Leadership management in engineering doi: 10.1061/(ASCE)LM.1943-5630.0000127 – volume: 21 start-page: 161 year: 2012 ident: 10.1016/j.autcon.2019.103037_bb0335 article-title: Imaged-based verification of as-built documentation of operational buildings publication-title: Autom. Constr. doi: 10.1016/j.autcon.2011.05.023 – start-page: 29 year: 2018 ident: 10.1016/j.autcon.2019.103037_bb0020 article-title: Chapter 2: terrestrial laser scanners – year: 2002 ident: 10.1016/j.autcon.2019.103037_bb0270 – volume: 29 start-page: 172 issue: 2 year: 2015 ident: 10.1016/j.autcon.2019.103037_bb0240 article-title: As-built data acquisition and its use in production monitoring and automated layout of civil infrastructure: a survey publication-title: Adv. Eng. Inform. doi: 10.1016/j.aei.2015.01.009 – ident: 10.1016/j.autcon.2019.103037_bb0235 – ident: 10.1016/j.autcon.2019.103037_bb0325 – volume: 101 start-page: 34 issue: 5 year: 2005 ident: 10.1016/j.autcon.2019.103037_bb0245 article-title: Specifying laser scanning services publication-title: Chem. Eng. Prog. – volume: 30 start-page: 298 issue: 3 year: 2016 ident: 10.1016/j.autcon.2019.103037_bb0155 article-title: Parametric as-built model generation of complex shapes from point clouds publication-title: Adv. Eng. Inform. doi: 10.1016/j.aei.2016.03.005 – volume: 81 start-page: 166 issue: 2 year: 2001 ident: 10.1016/j.autcon.2019.103037_bb0195 article-title: A survey of free-form object representation and recognition techniques publication-title: Comput. Vis. Image Underst. doi: 10.1006/cviu.2000.0889 – volume: 41 start-page: 719 issue: 10 year: 2009 ident: 10.1016/j.autcon.2019.103037_bb0160 article-title: Generating parametric models of tubes from laser scans publication-title: Comput. Aided Des. doi: 10.1016/j.cad.2009.01.002 – volume: 28 issue: 3 year: 2014 ident: 10.1016/j.autcon.2019.103037_bb0065 article-title: Automatic detection of cylindrical objects in built facilities publication-title: J. Comput. Civ. Eng. doi: 10.1061/(ASCE)CP.1943-5487.0000329 – volume: 86 start-page: 44 year: 2018 ident: 10.1016/j.autcon.2019.103037_bb0200 article-title: Performance evaluation of 3D descriptors for object recognition in construction applications publication-title: Autom. Constr. doi: 10.1016/j.autcon.2017.10.033 – start-page: 145 year: 1987 ident: 10.1016/j.autcon.2019.103037_bb0280 article-title: Direct least-squares fitting of algebraic surfaces – volume: 49 start-page: 214 year: 2015 ident: 10.1016/j.autcon.2019.103037_bb0095 article-title: Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling publication-title: Autom. Constr. doi: 10.1016/j.autcon.2014.07.009 – volume: 68 start-page: 203 year: 2016 ident: 10.1016/j.autcon.2019.103037_bb0170 article-title: Automatic segmentation and 3D modeling of pipelines into constituent parts from laser-scan data of the built environment publication-title: Autom. Constr. doi: 10.1016/j.autcon.2016.05.010 – ident: 10.1016/j.autcon.2019.103037_bb0220 – volume: 75 start-page: 65 year: 2017 ident: 10.1016/j.autcon.2019.103037_bb0330 article-title: An adaptive approach for the reconstruction and modeling of as-built 3D pipelines from point clouds publication-title: Autom. Constr. doi: 10.1016/j.autcon.2016.12.002 – volume: 24 start-page: 381 issue: 6 year: 1981 ident: 10.1016/j.autcon.2019.103037_bb0310 article-title: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography publication-title: Commun. ACM doi: 10.1145/358669.358692 – start-page: 226 year: 1996 ident: 10.1016/j.autcon.2019.103037_bb0315 – volume: 32 issue: 3 year: 2018 ident: 10.1016/j.autcon.2019.103037_bb0140 article-title: Automatic as-built BIM creation of precast concrete bridge deck panels using laser scan data publication-title: J. Comput. Civ. Eng. doi: 10.1061/(ASCE)CP.1943-5487.0000754 – volume: 101 start-page: 59 year: 2019 ident: 10.1016/j.autcon.2019.103037_bb0300 article-title: Development of high-accuracy edge line estimation algorithms using terrestrial laser scanning publication-title: Autom. Constr. doi: 10.1016/j.autcon.2019.01.009 – start-page: 1 year: 2014 ident: 10.1016/j.autcon.2019.103037_bb0045 article-title: A sparsity-inducing optimization-based algorithm for planar patches extraction from noisy point-cloud data – volume: 27 start-page: 395 issue: 3 year: 2013 ident: 10.1016/j.autcon.2019.103037_bb0090 article-title: An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery publication-title: Adv. Eng. Inform. doi: 10.1016/j.aei.2013.03.005 – ident: 10.1016/j.autcon.2019.103037_bb0340 – volume: 37 start-page: 163 year: 2018 ident: 10.1016/j.autcon.2019.103037_bb0100 article-title: A review of 3D reconstruction techniques in civil engineering and their applications publication-title: Adv. Eng. Inform. doi: 10.1016/j.aei.2018.05.005 – start-page: 2213 year: 2006 ident: 10.1016/j.autcon.2019.103037_bb0135 article-title: 3D building detection and modeling from aerial LIDAR data – volume: 56 start-page: 1 year: 2015 ident: 10.1016/j.autcon.2019.103037_bb0180 article-title: Automatic BIM component extraction from point clouds of existing buildings for sustainability applications publication-title: Autom. Constr. doi: 10.1016/j.autcon.2015.04.001 – volume: 45 start-page: 163 year: 2014 ident: 10.1016/j.autcon.2019.103037_bb0290 article-title: Automated dimensional quality assessment of precast concrete panels using terrestrial laser scanning publication-title: Autom. Constr. doi: 10.1016/j.autcon.2014.05.015 – start-page: 248 year: 2006 ident: 10.1016/j.autcon.2019.103037_bb0285 article-title: Segmentation of point clouds using smoothness constraint – volume: 31 issue: 4 year: 2017 ident: 10.1016/j.autcon.2019.103037_bb0085 article-title: Image-based technologies for constructing as-is building information models for existing buildings publication-title: J. Comput. Civ. Eng. doi: 10.1061/(ASCE)CP.1943-5487.0000652 – volume: 68 start-page: 170 year: 2016 ident: 10.1016/j.autcon.2019.103037_bb0295 article-title: Automated quality assessment of precast concrete elements with geometry irregularities using terrestrial laser scanning publication-title: Autom. Constr. doi: 10.1016/j.autcon.2016.03.014 – volume: 34 start-page: 114 year: 2017 ident: 10.1016/j.autcon.2019.103037_bb0175 article-title: Semantic as-built 3D modeling of structural elements of buildings based on local concavity and convexity publication-title: Adv. Eng. Inform. doi: 10.1016/j.aei.2017.10.001 – start-page: 117 year: 2002 ident: 10.1016/j.autcon.2019.103037_bb0305 article-title: A classified and comparative study of edge detection algorithms – start-page: 538 year: 2010 ident: 10.1016/j.autcon.2019.103037_bb0015 article-title: Use of as-built building information modeling – start-page: 345 year: 2015 ident: 10.1016/j.autcon.2019.103037_bb0225 article-title: BIM from laser clouds and finite element analysis: combining structural analysis and geometric complexity publication-title: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences doi: 10.5194/isprsarchives-XL-5-W4-345-2015 – ident: 10.1016/j.autcon.2019.103037_bb0250 – start-page: 625 year: 1999 ident: 10.1016/j.autcon.2019.103037_bb0055 article-title: Extracting textured vertical facades from controlled close-range imagery – volume: 42 year: 2019 ident: 10.1016/j.autcon.2019.103037_bb0190 article-title: BIM reconstruction from 3D point clouds: a semantic registration approach based on multimodal optimization and architectural design knowledge publication-title: Adv. Eng. Inform. doi: 10.1016/j.aei.2019.100965 – ident: 10.1016/j.autcon.2019.103037_bb0260 – ident: 10.1016/j.autcon.2019.103037_bb0080 – start-page: 406 year: 2014 ident: 10.1016/j.autcon.2019.103037_bb0040 article-title: Automatic generation of as-built geometric civil infrastructure models from point cloud data – volume: 32 start-page: 787 issue: 9 year: 2017 ident: 10.1016/j.autcon.2019.103037_bb0275 article-title: Automated estimation of reinforced precast concrete rebar positions using colored laser scan data publication-title: Computer-Aided Civil and Infrastructure Engineering doi: 10.1111/mice.12293 – ident: 10.1016/j.autcon.2019.103037_bb0265 – volume: 44 start-page: 15 issue: 1 year: 2003 ident: 10.1016/j.autcon.2019.103037_bb0030 article-title: Learning compact 3D models of indoor and outdoor environments with a mobile robot publication-title: Robot. Auton. Syst. doi: 10.1016/S0921-8890(03)00007-1 – volume: 20 start-page: 1143 issue: 8 year: 2011 ident: 10.1016/j.autcon.2019.103037_bb0115 article-title: Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques publication-title: Autom. Constr. doi: 10.1016/j.autcon.2011.04.016 – volume: 139 start-page: 69 issue: 1 year: 2013 ident: 10.1016/j.autcon.2019.103037_bb0120 article-title: Comparison of image-based and time-of-flight-based Technologies for Three-Dimensional Reconstruction of infrastructure publication-title: J. Constr. Eng. Manag. doi: 10.1061/(ASCE)CO.1943-7862.0000565 – ident: 10.1016/j.autcon.2019.103037_bb0210 – volume: 145 start-page: 1416 year: 2016 ident: 10.1016/j.autcon.2019.103037_bb0205 article-title: Construction quality assessment using 3D as-built models generated with Project Tango publication-title: Procedia Engineering doi: 10.1016/j.proeng.2016.04.178 – volume: 19 start-page: 829 issue: 7 year: 2010 ident: 10.1016/j.autcon.2019.103037_bb0165 article-title: Automatic reconstruction of as-built building information models from laser-scanned point clouds: a review of related techniques publication-title: Autom. Constr. doi: 10.1016/j.autcon.2010.06.007 – volume: 48 start-page: 131 issue: 2–3 year: 2004 ident: 10.1016/j.autcon.2019.103037_bb0035 article-title: Obtaining 3D models of indoor environments with a mobile robot by estimating local surface directions publication-title: Robot. Auton. Syst. doi: 10.1016/j.robot.2004.06.002 – year: 2018 ident: 10.1016/j.autcon.2019.103037_bb0010 doi: 10.1002/9781119287568 – start-page: 11 year: 2011 ident: 10.1016/j.autcon.2019.103037_bb0110 – start-page: 36 year: 2009 ident: 10.1016/j.autcon.2019.103037_bb0050 article-title: Toward automatic reconstruction of interiors from laser data – ident: 10.1016/j.autcon.2019.103037_bb0215 – volume: 54 start-page: 94 year: 2016 ident: 10.1016/j.autcon.2019.103037_bb0185 article-title: Automatic reconstruction of parametric building models from indoor point clouds publication-title: Comput. Graph. doi: 10.1016/j.cag.2015.07.008 – ident: 10.1016/j.autcon.2019.103037_bb0255 – volume: 31 issue: 1 year: 2017 ident: 10.1016/j.autcon.2019.103037_bb0125 article-title: Hierarchical dense structure-from-motion reconstructions for infrastructure condition assessment publication-title: J. Comput. Civ. Eng. doi: 10.1061/(ASCE)CP.1943-5487.0000616 – ident: 10.1016/j.autcon.2019.103037_bb0320 |
| SSID | ssj0007069 |
| Score | 2.570271 |
| Snippet | As-built building information models (BIMs) are increasingly needed for construction project handover and facility management. To create as-built BIMs, laser... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 103037 |
| SubjectTerms | Algorithms As-built geometric modeling Automation Bridges Building information model (BIM) Building management systems Facilities management Geometric accuracy Geometry Laser applications Lasers Principal components analysis Project management Scanning Steel structures Terrestrial laser scanning |
| Title | Semi-automated generation of parametric BIM for steel structures based on terrestrial laser scanning data |
| URI | https://dx.doi.org/10.1016/j.autcon.2019.103037 https://www.proquest.com/docview/2439047595 |
| Volume | 112 |
| WOSCitedRecordID | wos000526785600030&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: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1872-7891 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0007069 issn: 0926-5805 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1db9MwFLXKhsR4QDBADAbyA-KlspQPJ3Yey9SJoVJAdNA3y0ls1LGlHW2nPfDjuf5KOr4GD7xEVeo0Uc-xfWLfey5CzxNWFTyuElKCuCU045LImsckzbSsE5nQvJS22AQbj_l0Wrzr9b6FXJiLU9Y0_PKyWPxXqOEcgG1SZ_8B7vZH4QR8BtDhCLDD8a-A_6DOZkSuV3PQoqAmP1tf6aALjdP3mSmiVfVfHr2xMYYAs7I5I2u7m7Dsm4mttpsIylbusHU9QGQb3-fKlTjq-5S2VtcO3P184GQ173xp22HFL0yPZusupED5eGBZfekftJlmn3zT94G6flUiiTaCWexSWZsu83FzyTHJScYjt4ut3IDLGSh87ip2tSOyj6x2Y2r8y5HeLTqcmDgfs3AAOqYwBgKRs5C5aqw9fisOj0cjMRlOJy8W58TUHDN7874Ayw20nbCsgDFxe3A0nL5uZ3IW5c6r0T93SL208YE_3_h30uaHSd4ql8lddMe_cuCBo8o91FPNLroVMtKXu-j2hinlfTS7SiDcEQjPNe4IhIFAGAiELYFwRyBsCYSh_QaBsCUQDgTChkAP0PHhcHLwiviCHKRKU7oiiYwjzXUW61IVKlaMyyJnec4pTXUUQd-WtQTJymQJ01ZUSpXGlBnPx1xRXvL0Idpq5o16hHBel5LWoP_rGPQRLSXPUwXvElpnUtNE76E0_Jei8m71pmjKqQhhiSfCISAMAsIhsIdIe9XCubVc054FmIRXnE5JCqDZNVfuB1SF7_xLkYC6j4yBZvb4z18_QTtdp9lHW4CQeopuVher2fLrM0_D77CKrPo |
| linkProvider | Elsevier |
| 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=Semi-automated+generation+of+parametric+BIM+for+steel+structures+based+on+terrestrial+laser+scanning+data&rft.jtitle=Automation+in+construction&rft.au=Yang%2C+Liu&rft.au=Cheng%2C+Jack+CP&rft.au=Wang%2C+Qian&rft.date=2020-04-01&rft.pub=Elsevier+BV&rft.issn=0926-5805&rft.eissn=1872-7891&rft.volume=112&rft.spage=1&rft_id=info:doi/10.1016%2Fj.autcon.2019.103037&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0926-5805&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0926-5805&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0926-5805&client=summon |