Detection of Conductive Lane Markers using mmWave FMCW Automotive Radar

被引:1
作者
Greisman, Austin [1 ,2 ]
Hashtrudi-Zaad, Keyvan [1 ,2 ]
Marshall, Joshua A. [1 ,2 ]
机构
[1] Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada
[2] Queens Univ, Ingenu Labs, Res Inst, Kingston, ON K7L 3N6, Canada
来源
2021 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS (MFI) | 2021年
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1109/MFI52462.2021.9591167
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Localization of vehicles in inclement weather conditions, including snow and heavy rain, is a significant issue plaguing autonomous vehicle systems. Our work takes a step towards tackling this problem by leveraging existing hardware commonly used in self-driving vehicles, namely low-cost millimetre wave (mmWave) radar systems to detect conductive paint on roads. This paper presents the results of preliminary experiments that indicated that, even with full snow converge of the conductive paint, the radar system is still able to successfully detect the material as a potential marker for lateral vehicle localization.
引用
收藏
页数:6
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