LEADER 01926nam  2200433z- 450 
001 9910476902303321
005 20231214132828.0
010   $a1000126389
035   $a(CKB)5470000000567011
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/70107
035   $a(EXLCZ)995470000000567011
100   $a20202105d2021      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProbabilistic Motion Planning for Automated Vehicles
210   $aKarlsruhe$cKIT Scientific Publishing$d2021
215   $a1 electronic resource (194 p.)
225 1 $aSchriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
311   $a3-7315-1070-7 
330   $aIn 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.
606   $aMechanical engineering & materials$2bicssc
610   $aBewegungsplanung
610   $aPlanung unter Unsicherheiten
610   $aEntscheidungsfindung
610   $aAutomatisiertes Fahren
610   $aPOMDP
610   $aMotion Planning
610   $aPlanning under Uncertainty
610   $aDecision-Making
610   $aAutomated Vehicles
615  7$aMechanical engineering & materials
700   $aNaumann$b Maximilian$4auth$01319540
906   $aBOOK
912   $a9910476902303321
996   $aProbabilistic Motion Planning for Automated Vehicles$93033941
997   $aUNINA