Real-time vehicle tracking for driving assistance

被引：0

作者：

Fossati, Andrea ^{[1
]}

Schonmann, Patrick ^{[2
]}

Fua, Pascal ^{[1
]}

机构：

[1] Ecole Polytech Fed Lausanne, CVLab, CH-1015 Lausanne, Switzerland

[2] Cinetis SA, CH-1920 Martigny, Switzerland

来源：

MACHINE VISION AND APPLICATIONS | 2011年 / 22卷 / 02期

关键词：

Vehicle tracking; Real-time; Light detection; SYSTEM;

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：

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

页码：439 / 448

页数：10

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