Citation

Zang S, Ding M, Smith D, Tyler P, Rakotoarivelo T, Kaafar MA. IEEE Veh. Tech. Mag. 2019; 14(2): 103-111.

Copyright

(Copyright © 2019, Institute of Electrical and Electronics Engineers, Inc.)

DOI

10.1109/MVT.2019.2892497

PMID

unavailable

Abstract

Recently, the development of autonomous vehicles and intelligent driver assistance systems has drawn a significant amount of attention from the general public. One of the most critical issues in the development of autonomous vehicles and driver assistance systems is their poor performance under adverse weather conditions, such as rain, snow, fog, and hail. However, no current study provides a systematic and unified review of the effect that weather has on the various types of sensors used in autonomous vehicles. In this article, we first present a literature review about the impact of adverse weather conditions on state-ofthe-art sensors, such as lidar, GPS, camera, and radar. Then, we characterize the effect of rainfall on millimeter-wave (mmwave) radar, which considers both the rain attenuation and the backscatter effects. Our simulation results show that the detection range of mm-wave radar can be reduced by up to 45% under severe rainfall conditions. Moreover, the rain backscatter effect is significantly different for targets with different radar cross-section (RCS) areas.

Language: en

Keywords

adverse weather conditions; automobiles; autonomous vehicles; Autonomous vehicles; backscatter; Cameras; driver information systems; Global Positioning System; GPS; intelligent driver assistance systems; Laser radar; lidar; Meteorology; Millimeter wave communication; millimeter-wave radar; millimetre wave radar; optical radar; radar cross-section; radar cross-sections; Radar cross-sections; rain attenuation; rain backscatter effect; road safety; self-driving car; Sensor phenomena; Sensors; severe rainfall conditions