[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.
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页数:6
相关论文
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[1]
Asuzu P, 2018, IEEE RAD CONF, P12, DOI 10.1109/RADAR.2018.8378522
机构:
KTH Royal Inst Technol, Dept Civil & Architectural Engn, Stockholm, SwedenKTH Royal Inst Technol, Dept Civil & Architectural Engn, Stockholm, Sweden
Chen, Feng
Balieu, Romain
论文数: 0引用数: 0
h-index: 0
机构:
KTH Royal Inst Technol, Dept Civil & Architectural Engn, Stockholm, SwedenKTH Royal Inst Technol, Dept Civil & Architectural Engn, Stockholm, Sweden
机构:
KTH Royal Inst Technol, Dept Civil & Architectural Engn, Stockholm, SwedenKTH Royal Inst Technol, Dept Civil & Architectural Engn, Stockholm, Sweden
Chen, Feng
Balieu, Romain
论文数: 0引用数: 0
h-index: 0
机构:
KTH Royal Inst Technol, Dept Civil & Architectural Engn, Stockholm, SwedenKTH Royal Inst Technol, Dept Civil & Architectural Engn, Stockholm, Sweden