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In order to develop a driver assistance system for pedestrian protection, pedestrians in the environment of a truck are detected by radars and a camera and are tracked across distributed fields of view using a Joint Integrated Probabilistic Data Association filter. A robust approach for prediction of the system vehicles trajectory is presented. It serves the computation of a probabilistic collision risk based on reachable sets where different sources of uncertainty are taken into account.
Umfang: VIII, 238 S.
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Otto, C. 2013. Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000035932
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Veröffentlicht am 25. September 2013
Englisch
258
| Paperback | 978-3-7315-0073-5 |