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Detektion und Klassifizierung unterschiedlicher Bedeckungen auf Abschlussscheiben von LiDAR-Sensoren

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By providing a high resolution at high distances in a broad field of view, LiDAR sensors are a key element in automated driving cars. However, in harsh environmental conditions, particles from rain or dust attach on the outer surface of the sensor and cause a degradation of the overall performance....

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Bibliographic Details
Main Author: Trierweiler, Manuel (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2022
Series:Spektrum der Lichttechnik 26
Subjects:
Electrical engineering
LiDAR; autonomes Fahren; Fahrerassistenzsysteme; Regensensor; Refraktometer; automated driving; driver assistance systems; rain sensor; refractometer
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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Summary:By providing a high resolution at high distances in a broad field of view, LiDAR sensors are a key element in automated driving cars. However, in harsh environmental conditions, particles from rain or dust attach on the outer surface of the sensor and cause a degradation of the overall performance. This work introduces several methods to detect and characterize those particles, realizing the integration of an intelligent and fully automated cleaning system to restore the required performance.
Physical Description:1 electronic resource (268 p.)
ISBN:KSP/1000146583
Access:Open Access

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