Vehicle Detection and Tracking using Radar for Lane Keep Assist Systems

被引：1
|
作者：
Yadav, Shantanu [1 ]
Kumar, Sanju N. T. [1 ]
Rajalakshmi, P. [1 ]
机构：
[1] IIT, Elect Engn, Hyderabad, Telangana, India
来源：
2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING | 2023年
关键词：
lane keep assist; driver assistance; radar; Kalman filtering; camera;
D O I：
10.1109/VTC2023-Spring57618.2023.10199286
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we propose a lane keep assist and warning system using automotive radars in different real time scenarios. Owing to radar's immunity to weather and lighting conditions, it is possible to detect objects with high accuracy. We use Bayesian filtering technique to accurately detect and track vehicles moving towards the ego vehicle. A warning signal is generated if there is a vehicle in the proximity zone. In this work we explain the architecture of lane keep assist and warning (LKAW) systems using radar and also compare it with other lane keep assist systems which use camera as their primary sensors.
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页数：4
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