Image Processing Based Lane Crossing Detection Alert System to Avoid Vehicle Collision

摘要

In recent years, the lackadaisical lane crossing of vehicles causes major accidents on the highway roads. Particularly, in India different lane systems are available, they are 4-way, 6 way, and 8-way lane systems. The proposed work helps to identify the unwanted lane crossing activities and send an alert to the vehicle driver. A smart mobile is fixed in the dashpot and captures the lane video. The video is then converted into frames and the frame is detected using median filter, thresholding, and Hough transforms. In the lane, track marking is detected using pattern match and Kalman filter. The detected lane track is marked in different coloring and shown in the smart phone display. The proposed work is tested and compared with the existing lane crossing algorithms.