A Novel Vision Based Road Detection Algorithm for Intelligent Vehicle

Road Detection Algorithm for Vision Based Intelligent Vehicles is proposed, by considering road surface as reference object and Sub Region Hough Transform for road edge detection. The features of structured pavement are extracted, and a mathematical model that describes the relationship between target image coordinates, world coordinates and camera parameters is established. The solution is based on partition, which traverses the total number of segments in each sub region and finally, by using the traversal partition window an optimal solution that is straight line information of the road edge is found. Simulation results show that, adoptive path detection Algorithm for subsection Hough Transform improves the reliability of road detection.