Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems

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 o...

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Bibliographic Details
Main Author: Otto, Carola (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2013
Series:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems 
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520 |a 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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546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
653 |a Trajectory Prediction 
653 |a Radar and Camera 
653 |a Pedestrian 
653 |a Sensor Data Fusion 
653 |a Risk Assessement 
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