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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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
KIT Scientific Publishing
2014
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| Series: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 020 | |a KSP/1000043680 | ||
| 020 | |a 9783731502876 | ||
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| 024 | 7 | |a 10.5445/KSP/1000043680 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
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| 245 | 1 | 0 | |a Probabilistic Maneuver Recognition in Traffic Scenarios |
| 260 | |b KIT Scientific Publishing |c 2014 | ||
| 300 | |a 1 electronic resource (VI, 150 p. p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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 | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Technology: general issues |2 bicssc | |
| 653 | |a Nachrichtenverifizierung | ||
| 653 | |a Trajectory Prediction | ||
| 653 | |a Maneuver Recognition | ||
| 653 | |a Probabilistic Models | ||
| 653 | |a Message Verification | ||
| 653 | |a Situationsanalyse | ||
| 653 | |a Probabilistische Modellierung | ||
| 653 | |a TrajektorienprädiktionSituation Assessment | ||
| 653 | |a Fahrmanövererkennung | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731502876 |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/57005 |7 0 |z DOAB: description of the publication |