Show simple item record

dc.contributor.authorNaumann, Maximilian
dc.date.accessioned2021-05-27T09:28:02Z
dc.date.available2021-05-27T09:28:02Z
dc.date.issued2021
dc.identifierONIX_20210527_9783731510703_12
dc.identifier.issn1613-4214
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/48815
dc.description.abstractIn motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended safety verification framework. The approaches consider uncertainties from imperfect perception, occlusions and limited sensor range, and also those in the behavior of other traffic participants.
dc.languageEnglish
dc.relation.ispartofseriesSchriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materialsen_US
dc.subject.otherBewegungsplanung
dc.subject.otherPlanung unter Unsicherheiten
dc.subject.otherEntscheidungsfindung
dc.subject.otherAutomatisiertes Fahren
dc.subject.otherPOMDP
dc.subject.otherMotion Planning
dc.subject.otherPlanning under Uncertainty
dc.subject.otherDecision-Making
dc.subject.otherAutomated Vehicles
dc.titleProbabilistic Motion Planning for Automated Vehicles
dc.typebook
oapen.identifier.doi10.5445/KSP/1000126389
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9
oapen.relation.isbn9783731510703
oapen.series.number44
oapen.pages194
oapen.place.publicationKarlsruhe


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record