Partition based Hough Transformation for Real Time Road Lane Detection
نویسنده
چکیده
An integral component of Autonomous Driver Assistance system is the robust detection and tracking of lane markings. It is a rigid problem due to large appearance variations in lane markings caused by factors such as improper illumination (transition from day to night), occlusion (traffic on the road), shadows from objects, etc. In this paper, we present a robust partition based lane detection and tracking technique that deals with lane curvature, improper lane marking, lane changes, ending, splitting and merging of road lanes. We investigate the effectiveness of our algorithm on challenging different scenario in different daylight and night-time road video sequences. The proposed algorithm partition the camera captured image into several slots and tries to detect the lane separately. After detection the lanes in different splits it merges the partitions to find the final probable lane boundaries.
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