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Integrated 2D-3D LiDAR-vision fusion vehicle speed estimation based on image frustum
更新时间：2024-09-12
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    • Integrated 2D-3D LiDAR-vision fusion vehicle speed estimation based on image frustum

    • “In the field of lightning monitoring equipment speed measurement, researchers have proposed a multi-target continuous tracking speed measurement method that integrates image priority and 2D/3D views, effectively solving the problem of point cloud target detection confusion caused by perspective differences, and improving the accuracy and practicality of speed measurement.”
    • Optics and Precision Engineering   Pages: 1-11(2024)
    • CLC： TP391.4;U491

    • Received：13 May 2024，

      Revised：22 July 2024，

      Published Online：12 September 2024，

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  • ZHOU Kuiyu,HUANG Yuchun,YANG He,et al.Integrated 2D-3D LiDAR-vision fusion vehicle speed estimation based on image frustum[J].Optics and Precision Engineering, DOI：10.37188/OPE.XXXXXXXX.0001

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Related Author

ZHOU Kuiyu
HUANG Yuchun
JIANG Zhanjun
WU Baijing
MA Long
LIAN Jing
ZHOU Wenjun
HUANG Shuo

Related Institution

School of Electronics & Information Engineering，Lanzhou Jiaotong University
Shanghai Key Laboratory of Space-based Heterogeneous Network Collaborative Computing， Shanghai Aerospace Electronic Communication Equipment Research Institute
School of Communication and Information Engineering， Shanghai University
Anhui Provincial Key Laboratory of Measurement Theory and Precision Instruments， School of Instrument Science and Opto-electronics Engineering， Hefei University of Technology
Faculty of Mechanical and Electrical Engineering， Kunming University of Science and Technology
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