Detection of conductive lane markers using mmWave FMCW automotive radar
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Authors
Greisman, Austin
Hashtrudi-Zaad, Keyvan
Marshall, Joshua A.
Date
2021-09-23
Type
journal article
Language
en
Keyword
machine learning , radar , lane detection , autonomous driving , mmWave radar , automotive radar
Alternative Title
Abstract
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.
Description
Citation
A. Greisman, K. Hashtrudi-Zaad, and J. A. Marshall. Detection of conductive lane markers using mmWave FMCW automotive radar. In Proceedings of the 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Karlsruhe, Germany, September 23, 2021.
Publisher
IEEE