Belief State Planning for Autonomous Driving

This work presents a behavior planning algorithm for automated driving in urban environments with an uncertain and dynamic nature. The algorithm allows to consider the prediction uncertainty (e.g. different intentions), perception uncertainty (e.g. occlusions) as well as the uncertain interactive be...

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Détails bibliographiques
Publié dans:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Auteur principal: Hubmann, Constantin
Format: Livro
Langue:Inglês
Publié: KIT Scientific Publishing 2021
Sujets:
Autonomes Fahren
Entscheidungsfindung
Verhaltensgenerierung
Trajektorienplanung
Interaktion
Autonomous Driving
Decision Making
Behavior Planning
Trajectory Planning
Interactive Planning
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
Accès en ligne:https://directory.doabooks.org/handle/20.500.12854/72406
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