Fast lane boundary recognition by a parallel image processor

Much past research related to road domain detection has focused on lane detection. Commonly, this is performed by applying edge detection to a road image, then applying a Hough transform to perform straight-line detection. Detected straight lines are then analyzed to extract lane boundaries. However, the Hough transform is calculation intensive, requiring long processing times. This paper applies a parallel processor to image detection and investigates a Hough transform suited to parallel processing to realize faster lane detection.