Title :
Color-based detection of vehicle lights
Author :
Cabani, Iyadh ; Toulminet, Gwenaëlle ; Bensrhair, Abdelaziz
Author_Institution :
Lab. PSI, Inst. Nat. des Sci. Appliquees, Rouen, France
Abstract :
In this article, we present a first approach in the conception of a vision system dedicated to the detection of vehicles in reduced visibility conditions. It is based on a self-adaptive stereo vision extractor of 3D edges or obstacle and a color detection of vehicle lights. The detection of vehicle lights uses the L*a*b* color space. The vision system detects three kinds of vehicle lights: rear lights and rear-brake-lights; flashing and warning lights; reverse lights and headlights.
Keywords :
CCD image sensors; automated highways; collision avoidance; computer vision; driver information systems; edge detection; image colour analysis; 3D edges; Lab color space; flashing lights; obstacle extractor; rear lights; rear-brake-lights; reverse lights; self-adaptive stereo vision extractor; vehicles light color detection; vision system; warning lights; Infrared detectors; Laser radar; Machine vision; Radar detection; Road safety; Sensor fusion; Sensor systems; Space vehicles; Stereo vision; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium, 2005. Proceedings. IEEE
Print_ISBN :
0-7803-8961-1
DOI :
10.1109/IVS.2005.1505115