Vision-based vehicle detection and tracking method for forward collision warning in automobiles

被引：0
|
作者：
Srinivasa, N [1 ]
机构：
[1] HRL Labs LLC, Malibu, CA 90265 USA
来源：
IV'2002: IEEE INTELLIGENT VEHICLE SYMPOSIUM, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：626 / 631
页数：6
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