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: | |
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| Format: | Électronique Chapitre de livre |
| Langue: | anglais |
| Publié: |
KIT Scientific Publishing
2014
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| Collection: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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| Sujets: | |
| Accès en ligne: | DOAB: download the publication DOAB: description of the publication |
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| Résumé: | 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 |
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| Description matérielle: | 1 electronic resource (VI, 150 p. p.) |
| ISBN: | KSP/1000043680 9783731502876 |
| Accès: | Open Access |