Abstract
The application of autonomous driving technology in the field of transportation has become a hot research direction, and autonomous vehicles need to accurately detect and track moving targets around. As a kind of sensor widely used in the field of automatic driving, LiDAR has the characteristics of high precision and long distance detection. Therefore, this paper adopts a target detection algorithm based on three-dimensional LiDAR, which can identify moving targets accurately. Then the motion path of the detected target is captured and tracked by optical method, and the motion state of the target is monitored in real time. The experimental results show that the moving target detection algorithm and optical motion acquisition method based on 3D LiDAR can detect and track the moving target effectively, and capture its moving trajectory accurately. The application of this method to autonomous vehicles can improve vehicle perception and driving safety, and also provide a useful reference for other fields of moving object detection and tracking research.
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Funding
This paper was supported by (1) Hunan Natural Science Foundation Based on LiDAR coal inventory monitoring system, 2022JJ50251; (2)Hunan University of Arts and Sciences Doctoral Program Name: Research on Intelligent Separation Technology of Coal Gangue Based on Lidar Imaging Identification, Project No. 22BSQD46.
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Jian Jiang has contributed to the paper’s analysis, discussion, writing, and revision.
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Jiang, J. Moving object detection algorithm and motion capture based on 3D LiDAR. Opt Quant Electron 56, 585 (2024). https://doi.org/10.1007/s11082-024-06281-2
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DOI: https://doi.org/10.1007/s11082-024-06281-2