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Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems
Otto, Carola
2014
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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.
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Keywords
- Pedestrian
- Radar and Camera
- Risk Assessement
- sensor data fusion
- Trajectory Prediction
Links
DOI: 10.5445/KSP/1000035932Editions