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

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
Subjects:
Technology: general issues
Trajectory Prediction
Radar and Camera
Pedestrian
Sensor Data Fusion
Risk Assessement
Online Access:DOAB: download the publication
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Description
Summary: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.
Physical Description:1 electronic resource (VIII, 238 p. p.)
ISBN:KSP/1000035932
9783731500735
Access:Open Access

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