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Probabilistic Motion Planning for Automated Vehicles

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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 s...

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Détails bibliographiques
Auteur principal: Naumann, Maximilian (auth)
Format: Électronique Chapitre de livre
Langue:anglais
Publié: Karlsruhe KIT Scientific Publishing 2021
Collection:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Sujets:
Mechanical engineering & materials
Bewegungsplanung
Planung unter Unsicherheiten
Entscheidungsfindung
Automatisiertes Fahren
POMDP
Motion Planning
Planning under Uncertainty
Decision-Making
Automated Vehicles
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