Open Access Paper
28 December 2022 Estimation method of vehicle lane by millimeter wave radar
Chunjie Li, Wei Lei, Ye Jin, Long Zhang, Kai Zhao
Author Affiliations +
Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125061L (2022) https://doi.org/10.1117/12.2661838
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
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.
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Chunjie Li, Wei Lei, Ye Jin, Long Zhang, and Kai Zhao "Estimation method of vehicle lane by millimeter wave radar", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125061L (28 December 2022); https://doi.org/10.1117/12.2661838
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KEYWORDS
Radar

Roads

Cameras

Target detection

Extremely high frequency

Sensors

Intelligence systems

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