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dc.contributor.authorTrierweiler, Manuel
dc.date.accessioned2025-03-08T08:08:22Z
dc.date.available2025-03-08T08:08:22Z
dc.date.issued2022
dc.date.submitted2022-09-19T12:50:01Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/58454
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/188973
dc.description.abstractBy 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.
dc.languageGerman
dc.relation.ispartofseriesSpektrum der Lichttechnik
dc.rightsopen access
dc.subject.otherLiDAR; autonomes Fahren; Fahrerassistenzsysteme; Regensensor; Refraktometer; automated driving; driver assistance systems; rain sensor; refractometer
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.titleDetektion und Klassifizierung unterschiedlicher Bedeckungen auf Abschlussscheiben von LiDAR-Sensoren
dc.typebook
oapen.identifier.doi10.5445/KSP/1000146583
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages268
dc.seriesnumber26
dc.anonymityAll identities known
dc.peerreviewid51a542ec-eaeb-47c2-861d-6022e981a97a
dc.peerreviewtitleDissertations in Series (Dissertationen in Schriftenreihe)
dc.openreviewNo
dc.responsibilityBooks or series editor
dc.stagePre-publication
dc.reviewtypeFull text
dc.reviewertypeEditorial board member
dc.reviewertypeExternal peer reviewer


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