Visibility Detection Based on the Recognition of The Preceding Vehicle’s Taillight Signals

This paper proposes a method for visibility detection based on the recognition of the preceding vehicle’s taillight signals using images. First, we design the system for enhancing the image and from that enhanced image vehicle identification. We are constructing which is mainly used to identify vehicles without turning on the taillights. The other is to identify vehicles with taillights on by means of taillight segmentation. In this work, detection of vehicles is implemented using YOLOv2 detector network. Although many automated detection approaches including those based on image processing techniques have been proposed, the detection performance still has room for improvement due to the large variability in image appearance, imaging interference.

Keywords: Atmospheric haze removal, Image Processing, YOLOV2, MATLAB.