A fusion system for real-time forward collision warning in automobiles

被引：0
|
作者：
Srinivasa, N [1 ]
Chen, Y [1 ]
Daniell, C [1 ]
机构：
[1] HRL Labs LLC, Image & Signal Proc Dept, Malibu, CA 90265 USA
来源：
2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2 | 2003年
关键词：
fusion; collision warning; computer vision; tracking; detection;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We describe a fusion system that combines vision-data from a single. forward-looking camera with forward-looking radar data for real-time forward collision warning in automobiles. Our approach employs computer vision techniques to primarily perform the detection and tracking of vehicles and overhead structure. These detections are then fused using a probabilistic framework with co-registered radar data to reliably obtain vehicle azimuth and depth by minimizing false alarms. The resulting detections can then be used as input to any forward collision warning system. Experimental results are presented to illustrate the performance of the algorithm.
引用
收藏
页码：457 / 462
页数：6
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