Otto, Carola <br/><br/>
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.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>KSP/1000035932 9783731500735 
<br/><br/><label>Standard No.: </label>10.5445/KSP/1000035932  doi 
<br/><br/><label>Subjects--Index Terms: </label>Trajectory Prediction Radar and Camera Pedestrian Sensor Data Fusion Risk Assessement