Real-time vehicle tracking for driving assistance

被引：0
|
作者：
Andrea Fossati
Patrick Schönmann
Pascal Fua
机构：
[1] CVLab,
[2] EPFL,undefined
[3] Cinetis SA,undefined
来源：
Machine Vision and Applications | 2011年 / 22卷 / 2期
关键词：
Vehicle tracking; Real-time; Light detection;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Detecting car taillights at night is a task which can nowadays be accomplished very fast on cheap hardware. We rely on such detections to build a vision-based system that, coupling them in a rule-based fashion, is able to detect and track vehicles. This allows the generation of an interface that informs a driver of the relative distance and velocity of other vehicles in real time and triggers a warning when a potentially dangerous situation arises. We demonstrate the system using sequences shot using a camera mounted behind a car’s windshield.
引用
收藏
页码：439 / 448
页数：9
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