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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Библиографические подробности
Опубликовано в: :Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Главный автор: Hubmann, Constantin
Формат: Livro
Язык:Inglês
Опубликовано: KIT Scientific Publishing 2021
Предметы:
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
Online-ссылка:https://directory.doabooks.org/handle/20.500.12854/72406
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