Detektion und Klassifizierung unterschiedlicher Bedeckungen auf Abschlussscheiben von LiDAR-Sensoren
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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| Main Author: | |
|---|---|
| Format: | Electronic Book Chapter |
| Published: |
KIT Scientific Publishing
2022
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| Series: | Spektrum der Lichttechnik
26 |
| Subjects: | |
| Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a German | ||
| 650 | 7 | |a Electrical engineering |2 bicssc | |
| 653 | |a LiDAR; autonomes Fahren; Fahrerassistenzsysteme; Regensensor; Refraktometer; automated driving; driver assistance systems; rain sensor; refractometer | ||
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