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Maximilian Naumann

Probabilistic Motion Planning for Automated Vehicles

(Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie ; 49)

AutorNaumann, Maximilian

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783731510703

UmfangXIII,161 S.

Veröffentlicht
am:
25.02.2021

Erscheinungs-
jahr
2020

Verfügbarkeit04

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000126389

Abstract

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.