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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Κύριος συγγραφέας: Hubmann, Constantin
Μορφή: Online
Γλώσσα:Αγγλικά
Έκδοση: KIT Scientific Publishing 2021
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Διαθέσιμο Online:ONIX_20211019_9783731510390_2
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author Hubmann, Constantin
author_browse Hubmann, Constantin
author_facet Hubmann, Constantin
author_sort Hubmann, Constantin
collection Directory of Open Access Books
description 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 behavior of the other agents explicitly. Simulating the most likely future scenarios allows to find an optimal policy online that enables non-conservative planning under uncertainty.
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publishDate 2021
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spelling doab-20.500.12854ir-724062025-08-13T14:11:24Z Belief State Planning for Autonomous Driving Hubmann, Constantin 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials 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 behavior of the other agents explicitly. Simulating the most likely future scenarios allows to find an optimal policy online that enables non-conservative planning under uncertainty. 2021-10-20T04:02:21Z 2021-10-20T04:02:21Z 2021-10-19T08:21:35Z 2021 book ONIX_20211019_9783731510390_2 ONIX_20211019_9783731510390_2 OCN: 1286905474 1613-4214 https://library.oapen.org/handle/20.500.12657/51091 9783731510390 https://directory.doabooks.org/handle/20.500.12854/72406 eng Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/51091/1/9783731510390.pdf https://library.oapen.org/bitstream/20.500.12657/51091/1/9783731510390.pdf https://library.oapen.org/bitstream/20.500.12657/51091/1/9783731510390.pdf https://library.oapen.org/bitstream/20.500.12657/51091/1/9783731510390.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000122855 10.5445/KSP/1000122855 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731510390 AG Universitätsverlage KIT Scientific Publishing 180 Karlsruhe open access
spellingShingle 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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
Hubmann, Constantin
Belief State Planning for Autonomous Driving
title Belief State Planning for Autonomous Driving
title_full Belief State Planning for Autonomous Driving
title_fullStr Belief State Planning for Autonomous Driving
title_full_unstemmed Belief State Planning for Autonomous Driving
title_short Belief State Planning for Autonomous Driving
title_sort belief state planning for autonomous driving
topic 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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
topic_facet 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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
url ONIX_20211019_9783731510390_2
work_keys_str_mv AT hubmannconstantin beliefstateplanningforautonomousdriving