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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Autor principal: Naumann, Maximilian (auth)
Formato: Electrónico Capítulo de libro
Lenguaje:inglés
Publicado: Karlsruhe KIT Scientific Publishing 2021
Colección:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie 44
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Acceso en línea:OAPEN Library: download the publication
OAPEN Library: description of the publication
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520 |a 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. 
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653 |a Bewegungsplanung 
653 |a Planung unter Unsicherheiten 
653 |a Entscheidungsfindung 
653 |a Automatisiertes Fahren 
653 |a POMDP 
653 |a Motion Planning 
653 |a Planning under Uncertainty 
653 |a Decision-Making 
653 |a Automated Vehicles 
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