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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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Bibliographic Details
Main Author: Firl, Jonas (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2014
Series:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Subjects:
Technology: general issues
Nachrichtenverifizierung
Trajectory Prediction
Maneuver Recognition
Probabilistic Models
Message Verification
Situationsanalyse
Probabilistische Modellierung
TrajektorienprädiktionSituation Assessment
Fahrmanövererkennung
Online Access:DOAB: download the publication
DOAB: description of the publication
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Description
Summary: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
Physical Description:1 electronic resource (VI, 150 p. p.)
ISBN:KSP/1000043680
9783731502876
Access:Open Access

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