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221110 ||| deu |
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|a 9783731512004
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020 |
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|a 1000146583
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100 |
1 |
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|a Trierweiler, Manuel
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245 |
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|a Detektion und Klassifizierung unterschiedlicher Bedeckungen auf Abschlussscheiben von LiDAR-Sensoren
|h Elektronische Ressource
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260 |
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|b KIT Scientific Publishing
|c 2022
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300 |
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|a 1 electronic resource (268 p.)
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653 |
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|a LiDAR; autonomes Fahren; Fahrerassistenzsysteme; Regensensor; Refraktometer; automated driving; driver assistance systems; rain sensor; refractometer
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653 |
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|a Electrical engineering / bicssc
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041 |
0 |
7 |
|a deu
|2 ISO 639-2
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989 |
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|b DOAB
|a Directory of Open Access Books
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490 |
0 |
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|a Spektrum der Lichttechnik
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500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
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028 |
5 |
0 |
|a 10.5445/KSP/1000146583
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856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/92429
|z DOAB: description of the publication
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856 |
4 |
0 |
|u https://library.oapen.org/bitstream/20.500.12657/58454/1/detektion-und-klassifizierung-unterschiedlicher-bedeckungen-auf-abschlussscheiben-von-lidar-sensoren.pdf
|7 0
|x Verlag
|3 Volltext
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082 |
0 |
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|a 620
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520 |
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|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.
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