LANE DETECTION USING CANNY EDGE DETECTION AND HOUGH TRANSFORM ON RASPBERRY PI

Many of the researchers are developing an efficient technology for automated alarm system while crossing through lanes on roads. Lane detection through image processing is one of the major tasks. A camera can be mounted in the front of vehicle to take real time images; and a fast processor can be use to automatically detect lanes according to image processing algorithms. This paper is based on algorithm development using canny edge detector and Houge transform. The algorithm is implemented on OpenCV and Python. The Raspberry Pi is used for real time processing of image. Algorithm and it’s implementation is discussed in this paper.