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Proceedings Paper

Automotive LiDAR pollution detection system based on total internal reflection techniques
Author(s): Manuel Trierweiler; Tobias Peterseim; Cornelius Neumann
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Paper Abstract

In harsh weather conditions contaminants like water or particles from road dirt attach on the outer surfaces of a vehicle. This applies to the sensor systems of the vehicle as well, which is why they are separated from the environment with a protection window. In today's vehicles, a rain sensor can control the windshield wiper to ensure a clear view for the driver through the windshield. This technique can be applied to automotive light detection and ranging (LiDAR) sensors, which are particularly sensitive to contaminants. However, if solid particles attach on the protection window, the wiper cannot clean the surface properly until a cleaning solution is sprayed on the surface before. We present a method for detecting contaminants on this protection window using total internal reflection techniques. The proposed system is able to separate between liquid and solid contaminants, making the automatic control of a cleaning system consisting of a wiper and nozzles possible. Furthermore, the system yields a degree of contamination on the entire surface of the sensor cover which is of high importance for the data interpretation of the underlying LiDAR system.

Paper Details

Date Published: 25 February 2020
PDF: 10 pages
Proc. SPIE 11302, Light-Emitting Devices, Materials, and Applications XXIV, 1130216 (25 February 2020);
Show Author Affiliations
Manuel Trierweiler, Robert Bosch GmbH (Germany)
Karlsruhe Institute of Technology (Germany)
Tobias Peterseim, Robert Bosch GmbH (Germany)
Cornelius Neumann, Karlsruhe Institute of Technology (Germany)


Published in SPIE Proceedings Vol. 11302:
Light-Emitting Devices, Materials, and Applications XXIV
Jong Kyu Kim; Michael R. Krames; Martin Strassburg, Editor(s)

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