Long distance moving vehicle detection using rear lamp at night
نویسندگان
چکیده
This paper proposes a vehicle detection system for identifying the moving vehicles at night which is far distance away by locating their rear-lights in the road. Many advanced driver-assistance systems (ADAS), such as collision mitigation, automatic cruise control (ACC) and automatic headlamp dimming were proposed by many researchers for driver assistance. We present a novel image processing system to detect and track long distance vehicle rear-lamp pairs in forward-facing color video at dark night. The vehicle lights are the salient visual feature to detect vehicle during night time. Detection of tail lamp is purely based on the red light intensity. The intensity changes slowly while the vehicle is moving. Unlike previous work, color threshold is derived using adaptive threshholding and used for real-world conditions in the RGB color space. The results demonstrate the system’s high detection rates and robustness to different lighting conditions and road environments.
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