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dc.contributor.authorTrierweiler, Manuel
dc.date.accessioned2022-09-19T12:50:01Z
dc.date.available2022-09-19T12:50:01Z
dc.date.issued2022
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/58454
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.en_US
dc.languageGermanen_US
dc.relation.ispartofseriesSpektrum der Lichttechniken_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineeringen_US
dc.subject.otherLiDAR; autonomes Fahren; Fahrerassistenzsysteme; Regensensor; Refraktometer; automated driving; driver assistance systems; rain sensor; refractometeren_US
dc.titleDetektion und Klassifizierung unterschiedlicher Bedeckungen auf Abschlussscheiben von LiDAR-Sensorenen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000146583en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.series.number26en_US
oapen.pages268en_US


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