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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| Superior document: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie |
|---|---|
| : | |
| Year of Publication: | 2014 |
| Language: | English |
| Series: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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| Physical Description: | 1 electronic resource (VI, 150 p. p.) |
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| 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 | ||
| 546 | |a English | ||
| 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 | ||
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