Probabilistic Motion Planning for Automated Vehicles

Probabilistic Motion Planning for Automated Vehicles

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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Detalles Bibliográficos
Otros Autores: Naumann, Maximilian (auth)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Karlsruhe KIT Scientific Publishing 2021
Colección:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Materias:
Mechanical engineering & materials
Bewegungsplanung
Planung unter Unsicherheiten
Entscheidungsfindung
Automatisiertes Fahren
POMDP
Motion Planning
Planning under Uncertainty
Decision-Making
Automated Vehicles
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654088706719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (194 p.)

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