Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems
Otto, Carola
Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems - KIT Scientific Publishing 2013 - 1 electronic resource (VIII, 238 p. p.)
Open Access
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.
Creative Commons
English
KSP/1000035932 9783731500735
10.5445/KSP/1000035932 doi
Trajectory Prediction Radar and Camera Pedestrian Sensor Data Fusion Risk Assessement
Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems - KIT Scientific Publishing 2013 - 1 electronic resource (VIII, 238 p. p.)
Open Access
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.
Creative Commons
English
KSP/1000035932 9783731500735
10.5445/KSP/1000035932 doi
Trajectory Prediction Radar and Camera Pedestrian Sensor Data Fusion Risk Assessement