Title: REAL-TIME LANE DETECTION FOR DRIVING SYSTEM USING IMAGE PROCESSING BASED ON EDGE DETECTION AND HOUGH TRANSFORM

Year of Publication: Jul - 2013
Page Numbers: 104-109
Authors: Thittaporn Ganokratanaa, Mahasak Ketcham, Sasipa Sathienpong
Conference Name: The Third International Conference on Digital Information and Communication Technology and its Applications (DICTAP2013)
- Czech Republic

Abstract:


Real-time Lane Detection for Driving System Using Image Processing Based on Edge Detection and Hough Transform has been developed to aid a driver in the lane departure decision-making, to reduce a loss of concentration and to prevent an accident while driving. In this paper, we propose a method for detecting the lane markers in real time by using a webcam camera to record the road as a video stream file (.avi). The Edge detection is a technique which used to identify points into a set of curved line segments called edge. Hough Transform method is used to detect the lanes in an image for increasing the accurate lane detection and the safety driving system. The results show the performance of the proposed lane detection and tracking algorithm in various lane road conditions on video clip that used for testing. According to the results, the driver can use this information to increase their safety driving, especially when making the decision of lane changing.