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Estimation method of vehicle lane by millimeter wave radar

  • Chunjie Li*
  • , Wei Lei
  • , Ye Jin
  • , Long Zhang
  • , Kai Zhao
  • *此作品的通讯作者
  • Ltd.
  • Research and Development Center of Transport Industry of Self-driving Technology
  • Southeast University, Nanjing
  • Industrial Research Institute of Vehicle-Road-Cloud-Network Integration
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

For the current smart high-speed scene, the millimeter-wave radar needs to give the lane number of the vehicle while outputting the lane-level target track information. Since the millimeter-wave radar cannot identify the lane line information, it is difficult to achieve the lane estimation without the help of other sensors. This paper proposes a method to quickly estimate the lane numbers of vehicles in different high-speed scenarios with the help of high-precision maps. First, it unifies the map and vehicle track coordinate system, converts the point set of lane line in WGS-84 format to the Cartesian coordinate system with the radar as the origin after coordinate transformation. Then, through Lagrange interpolation, the X value corresponding to the Y value of the vehicle on the left and right side of the lane line is obtained. Finally, the lane to which the vehicle belongs is estimated by the ratio method. The actual measurement results show that the method can quickly and accurately estimate the lane number of the vehicle in various high-speed scenarios without the help of other sensors.

源语言英语
主期刊名Third International Conference on Computer Science and Communication Technology, ICCSCT 2022
编辑Yingfa Lu, Changbo Cheng
出版商SPIE
ISBN(电子版)9781510661240
DOI
出版状态已出版 - 2022
活动3rd International Conference on Computer Science and Communication Technology, ICCSCT 2022 - Beijing, 中国
期限: 30 7月 2022 → 31 7月 2022

丛书

姓名Proceedings of SPIE - The International Society for Optical Engineering
卷12506
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议3rd International Conference on Computer Science and Communication Technology, ICCSCT 2022
国家/地区中国
市Beijing
时期30/07/22 → 31/07/22

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