This paper describes the implementation of a realtime architecture dedicated to obstacle detection in the automotive domain, and more particularly to pre-crash situations. The method, based on stereovision, is of high complexity and can not run in real-time on standard processors. Therefore, the application is accelerated with the use of special purpose hardware; in particular, a highly parallelized disparity engine is presented. A prototype board was built, which achieves a performance of 460 GOPS and computes the application at the rate of 22 frames per second, thus reaching road safety constraints.
Stereovision-based 3D obstacle detection for automotive safety driving assistance
2009-10-01
1623483 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Obstacle detection in urban traffic using stereovision
IEEE | 2005
|Obstacle Detection in Urban Traffic Using Stereovision
British Library Conference Proceedings | 2005
|Unified Stereovision for Ground, Road, and Obstacle Detection
British Library Conference Proceedings | 2005
|