Search Results - "Multi Sensor Data Fusion Algorithms"

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  1. 1

    Advances in Multi-Sensor Data Fusion: Algorithms and Applications by Dong, Jiang, Zhuang, Dafang, Huang, Yaohuan, Fu, Jingying

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 01.10.2009
    Published in Sensors (Basel, Switzerland) (01.10.2009)
    “…With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor…”
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    Journal Article Book Review
  2. 2

    Multi sensor data fusion algorithms for target tracking using multiple measurements by Anitha, R., Renuka, S., Abudhahir, A.

    ISBN: 1479915947, 9781479915941
    Published: IEEE 01.12.2013
    “… The objective of this work is to evaluate multi sensor data fusion algorithms for target tracking…”
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    Conference Proceeding
  3. 3

    A simulated evaluating system for multi-sensor data fusion algorithms by Yansheng Lu, Pei Yue, Binbin Qu

    ISBN: 9780780382732, 0780382730
    Published: IEEE 2004
    “…Data fusion is the process to synthetically calculate information coming from several sensors, which helps reduce possible mistakes or uncertainty of…”
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    Conference Proceeding
  4. 4

    Multi-Sensor Data Fusion Algorithm for Indoor Fire Early Warning Based on BP Neural Network by Wu, Lesong, Chen, Lan, Hao, Xiaoran

    ISSN: 2078-2489, 2078-2489
    Published: Basel MDPI AG 01.01.2021
    Published in Information (Basel) (01.01.2021)
    “…Fire early warning is an important way to deal with the faster burning rate of modern home fires and ensure the safety of the residents’ lives and property. To…”
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    Journal Article
  5. 5

    Filtering based multi-sensor data fusion algorithm for a reliable unmanned surface vehicle navigation by Liu, Wenwen, Liu, Yuanchang, Bucknall, Richard

    ISSN: 2046-4177, 2056-8487
    Published: Taylor & Francis 04.03.2023
    “… To combat this, multi-sensor data fusion algorithms will be developed in this paper to deal with the raw sensor measurements from three kinds of commonly used sensors and calculate improved…”
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    Journal Article
  6. 6

    A multi-sensor data fusion algorithm based on consistency preprocessing and adaptive weighting by Du, Shengxue, Chen, Shujun

    ISSN: 0005-1144, 1848-3380
    Published: Ljubljana Taylor & Francis Ltd 02.01.2024
    Published in Automatika (02.01.2024)
    “… To solve the above problem, a multi-sensor data fusion algorithm based on anomaly data preprocessing and adaptive weighted estimation is proposed…”
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    Journal Article Paper
  7. 7

    Multi-Sensor Data Fusion Algorithm Based on BP Neural Network by Shuai, Liu

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.07.2020
    Published in Journal of physics. Conference series (01.07.2020)
    “…In multi-sensor detection system, the application of multi-sensor accurate detection system parameters is limited due to the existence of measurement noise…”
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    Journal Article
  8. 8

    Multi-Sensor Data Fusion Algorithm Based on Trust Degree and Improved Genetics by Sun, Guiling, Zhang, Ziyang, Zheng, Bowen, Li, Yangyang

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 08.05.2019
    Published in Sensors (Basel, Switzerland) (08.05.2019)
    “…), a multi-sensor data fusion algorithm based on trust degree and improved genetics is proposed…”
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    Journal Article
  9. 9

    Multi-sensor data fusion algorithm based on the improved weighting factor by Yu, Yongjin, Liu, Xiaoqing, Xu, Chuannuo, Cheng, Xuezhen

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.02.2021
    Published in Journal of physics. Conference series (01.02.2021)
    “…Aiming at the decrease of the accuracy of fusion data caused by the abnormal value and noise interference in the multi-sensor observations, this paper proposes a multi-sensor data fusion algorithm…”
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    Journal Article
  10. 10

    Urban road pedestrian detection system integrating IoT technology and multi-sensor data fusion algorithm by Han, Zhenhua, Ma, Xin, Zheng, Jiahao

    ISSN: 2590-0056, 2590-0056
    Published: Elsevier Inc 01.12.2025
    Published in Array (New York) (01.12.2025)
    “…With the increase of urban roads, sensors are used to detect the presence and behavior of pedestrians in real-time at intersections, zebra crossings, and other…”
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    Journal Article
  11. 11

    Research on multi-sensor data fusion algorithm for unmanned vehicles under extreme conditions by Zhang, Ruiqi

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.06.2021
    Published in Journal of physics. Conference series (01.06.2021)
    “…Aiming at the problem of insufficient accuracy in Simultaneous Localization and Mapping of vehicle robot using a single sensor in extreme environment scenes,…”
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    Journal Article
  12. 12

    A Multi-sensor Data Fusion Algorithm Based on Unscented Kalman Filter for the Attitude Estimation of UAV by Wu, Hongwei, Dou, Yinke, Liu, Jianlong

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.07.2021
    Published in Journal of physics. Conference series (01.07.2021)
    “…Aiming at the low accuracy of the inertial measurement unit and the error of the traditional attitude estimation algorithm, a UAV attitude estimation algorithm…”
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    Journal Article
  13. 13

    An integrated multi-sensor data fusion algorithm and autopilot implementation in an uninhabited surface craft by Naeem, Wasif, Sutton, Robert, Xu, Tao

    ISSN: 0029-8018, 1873-5258
    Published: Kidlington Elsevier Ltd 2012
    Published in Ocean engineering (2012)
    “…Unmanned surface vehicles (USVs) are able to accomplish difficult and challenging tasks both in civilian and defence sectors without endangering human lives…”
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    Journal Article
  14. 14

    Research on Multi sensor Data Fusion Algorithm Based on Distributed Kalman Filter by Liang, Zhixun, Shi, Yunying, Yi, Yunfei, Luo, Longxiang, Tang, Peng

    Published: IEEE 23.08.2024
    “… Sensor nodes in sensor networks usually possess limited energy and computing power. This paper presents a multi-sensor data fusion algorithm based on distributed…”
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    Conference Proceeding
  15. 15

    Dynamical reconfiguration strategy of a multi sensor data fusion algorithm based on Information Theory by Tmazirte, Nourdine Ait, El Najjar, Maan E., Smaili, Cherif, Pomorski, Denis

    ISSN: 1931-0587
    Published: IEEE 01.06.2013
    “…Autonomous vehicle board an increasing quantity of sensors such as GNSS receivers, road maps, LIDARs, to ensure a reliable localization function. This…”
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    Conference Proceeding
  16. 16

    Multi Sensor Data Fusion Algorithm Based on Multi Neural Network Decision Model and D-S Evidence Theory by Tian, Huiyi, Zhao, Yue

    Published: IEEE 21.03.2025
    “…A data fusion model TFIT-DS based on multi neural network decision model and D-S evidence is proposed to address the uncertainty and redundancy of sensor data…”
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    Conference Proceeding
  17. 17

    Multi-sensor data fusion algorithm based on fuzzy adaptive Kalman filter by Li, Jian, Lei, Yanhua, Cai, Yunze, He, Liming

    ISSN: 1934-1768
    Published: TCCT, CAA 01.07.2013
    Published in Chinese Control Conference (01.07.2013)
    “…In order to resolve the problem of multi-sensor dynamic system with uncertain or changeable measurement noise, we present a multi-sensor data fusion algorithm based on fuzzy adaptive Kalman filter…”
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    Conference Proceeding
  18. 18

    Multi-sensor Data Fusion Algorithm Based on Dempster-Shafer Theory by Li, Xiguang, Zhao, Yue, Fan, Chunlong, Qiu, Xinye

    Published: IEEE 10.12.2021
    “…Aiming at the problem of uncertainty in multi-sensor data collection, a multi-sensor data fusion algorithm (MSDF…”
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    Conference Proceeding
  19. 19

    Multi-sensor Data Fusion Algorithm Based on Adaptive Trust Estimation and Neural Network by Zhao, Xuexin, Wu, Junhua, Wang, Maoli, Li, Guangshun, Yu, Haili, Feng, Wenzhen

    Published: IEEE 09.08.2020
    “…Multi-sensor data fusion technique plays a key role in the agricultural services such as data collection and processing. However, the collected data usually is…”
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    Conference Proceeding
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