@inproceedings{7ef530c75919448faa3b9cabc9c53444,
title = "Estimation method of vehicle lane by millimeter wave radar",
abstract = "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.",
keywords = "High-precision maps, Lagrange interpolation, coordinate transformation, lane estimation, ratio method",
author = "Chunjie Li and Wei Lei and Ye Jin and Long Zhang and Kai Zhao",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; 3rd International Conference on Computer Science and Communication Technology, ICCSCT 2022 ; Conference date: 30-07-2022 Through 31-07-2022",
year = "2022",
doi = "10.1117/12.2661838",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yingfa Lu and Changbo Cheng",
booktitle = "Third International Conference on Computer Science and Communication Technology, ICCSCT 2022",
address = "United States",
}