Real Time Visual Trafric Lights Recognition Based on Spot Light Detection and Adaptive Traffic Lights Templates

被引：114

作者：

de Charette, Raoul ^{[1
]}

Nashashibi, Fawzi ^{[1
]}

机构：

[1] Ecole Mines Paris, Ctr Robot CAOR, F-75272 Paris 06, France

来源：

2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2 | 2009年

关键词：

D O I：

10.1109/IVS.2009.5164304

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces a new real-time traffic light recognition system for on-vehicle camera applications. This approach has been tested with good results in urban scenes. Thanks to the use of our generic "Adaptive Templates" it would be possible to recognize different kinds of traffic lights from various countries. Our approach is mainly based on a spot detection algorithm therefore able to detect lights from a high distance with the main advantage of being not so sensitive to motion blur and illumination variations. The detected spots together with other shape analysis form strong hypothesis we feed our Adaptive Templates Matcher with. Even though it is still in progress, our system was validated in real conditions in our prototype vehicle and also using registered video sequences. We noticed a high rate of correctly recognized traffic lights and very few false alarms. Processing is performed in real-time on 640x480 images using a 2.9GHz single core desktop computer.

引用

页码：358 / 363

页数：6