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

    • 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
LU Han
CUI Bolun
WAN Huayang
ZHANG Guofeng
SHEN Chen
WANG Chi

Related Institution

Beijing Institute of Space Mechanics & Electricity
School of Mechatronic Engineering and Automation，Shanghai University
Southwest Institute of Technical Physics
College of Optoelectronic Engineering， Chongqing University
School of Electronics & Information Engineering， Lanzhou Jiaotong University
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