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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Detalles Bibliográficos

Autor principal:	Hubmann, Constantin
Formato:	Online
Lenguaje:	inglés
Publicado:	KIT Scientific Publishing 2021
Materias:	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
Acceso en línea:	ONIX_20211019_9783731510390_2
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