01926nam 2200433z- 450 991047690230332120231214132828.01000126389(CKB)5470000000567011(oapen)https://directory.doabooks.org/handle/20.500.12854/70107(EXLCZ)99547000000056701120202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierProbabilistic Motion Planning for Automated VehiclesKarlsruheKIT Scientific Publishing20211 electronic resource (194 p.)Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie3-7315-1070-7 In 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.Mechanical engineering & materialsbicsscBewegungsplanungPlanung unter UnsicherheitenEntscheidungsfindungAutomatisiertes FahrenPOMDPMotion PlanningPlanning under UncertaintyDecision-MakingAutomated VehiclesMechanical engineering & materialsNaumann Maximilianauth1319540BOOK9910476902303321Probabilistic Motion Planning for Automated Vehicles3033941UNINA