We describe a vision-based vehicle detection and tracking method for forward collision warning in automobiles. The approach is based on a set of edge-based constraint filters that assist in the segmentation of vehicles from background clutter. The detected vehicles are then tracked using a combination of distance based matching, sum-of-square-of-difference in intensity (SSD) and edge density of detected vehicle regions. The computational load for tracking is minimized using a vehicle-clustering algorithm. Experimental results are presented to illustrate the performance of the algorithm.
Vision-based vehicle detection and tracking method for forward collision warning in automobiles
Intelligent Vehicle Symposium, 2002. IEEE ; 2 ; 626-631 vol.2
01.01.2002
444316 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Vision-Based Vehicle Detection and Tracking Method for Forward Collision Warning in Automobiles
British Library Conference Proceedings | 2003
|A Vision-Based Method for Vehicle Forward Collision Warning
British Library Conference Proceedings | 2020
|Europäisches Patentamt | 2023
|A Fusion System for Real-Time Forward Collision Warning in Automobiles
British Library Conference Proceedings | 2003
|