Probabilistic Maneuver Recognition in Traffic Scenarios

In this work an approach is presented to model and recognize traffic maneuvers in terms of interactions between different traffic participants on extra urban roads. Results of the recognition concept are presented and evaluated using different sensor setups and its benefit is outlined by an integrat...

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Auteur principal: Firl, Jonas
Format: Online
Langue:anglais
Publié: KIT Scientific Publishing 2021
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Accès en ligne:35619
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author Firl, Jonas
author_browse Firl, Jonas
author_facet Firl, Jonas
author_sort Firl, Jonas
collection Directory of Open Access Books
description In this work an approach is presented to model and recognize traffic maneuvers in terms of interactions between different traffic participants on extra urban roads. Results of the recognition concept are presented and evaluated using different sensor setups and its benefit is outlined by an integration into a software framework in the field of Car-to-Car (C2C) communications. Furthermore, recognition results are used in this work to robustly predict vehicle’s trajectories while driving dynamic
format Online
id doab-20.500.12854ir-57005
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
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spelling doab-20.500.12854ir-570052024-04-09T23:16:25Z Probabilistic Maneuver Recognition in Traffic Scenarios Firl, Jonas T1-995 Nachrichtenverifizierung Trajectory Prediction Maneuver Recognition Probabilistic Models Message Verification Situationsanalyse Probabilistische Modellierung TrajektorienprädiktionSituation Assessment Fahrmanövererkennung thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues In this work an approach is presented to model and recognize traffic maneuvers in terms of interactions between different traffic participants on extra urban roads. Results of the recognition concept are presented and evaluated using different sensor setups and its benefit is outlined by an integration into a software framework in the field of Car-to-Car (C2C) communications. Furthermore, recognition results are used in this work to robustly predict vehicle’s trajectories while driving dynamic 2021-02-11T23:55:01Z 2021-02-11T23:55:01Z 2019-07-30 20:02:02 2014 book 35619 16134214 9783731502876 https://directory.doabooks.org/handle/20.500.12854/57005 eng Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731502876 KIT Scientific Publishing 10.5445/KSP/1000043680 10.5445/KSP/1000043680 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731502876 VI, 150 p. open access
spellingShingle T1-995
Nachrichtenverifizierung
Trajectory Prediction
Maneuver Recognition
Probabilistic Models
Message Verification
Situationsanalyse
Probabilistische Modellierung
TrajektorienprädiktionSituation Assessment
Fahrmanövererkennung
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Firl, Jonas
Probabilistic Maneuver Recognition in Traffic Scenarios
title Probabilistic Maneuver Recognition in Traffic Scenarios
title_full Probabilistic Maneuver Recognition in Traffic Scenarios
title_fullStr Probabilistic Maneuver Recognition in Traffic Scenarios
title_full_unstemmed Probabilistic Maneuver Recognition in Traffic Scenarios
title_short Probabilistic Maneuver Recognition in Traffic Scenarios
title_sort probabilistic maneuver recognition in traffic scenarios
topic T1-995
Nachrichtenverifizierung
Trajectory Prediction
Maneuver Recognition
Probabilistic Models
Message Verification
Situationsanalyse
Probabilistische Modellierung
TrajektorienprädiktionSituation Assessment
Fahrmanövererkennung
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
topic_facet T1-995
Nachrichtenverifizierung
Trajectory Prediction
Maneuver Recognition
Probabilistic Models
Message Verification
Situationsanalyse
Probabilistische Modellierung
TrajektorienprädiktionSituation Assessment
Fahrmanövererkennung
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
url 35619
work_keys_str_mv AT firljonas probabilisticmaneuverrecognitionintrafficscenarios