Road Edge and Lane Boundary Detection using Laser and Vision

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2001), 2001, 3 pp. 1440 - 1445
Issue Date:
2001-01
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This paper presents a methodology for extracting road edge and lane information for smart and intelligent navigation of vehicles. The range information provided by a fast laser range-measuring device is processed by an extended Kalman filter to extract the road edge or curb information. The resultant road edge information is used to aid in the extraction of the lane boundary from a CCD camera image. The Hough transform is used to extract the candidate of lane boundary edges, and the most probable lane boundary is determined by using an active line model and minimizing an appropriate energy function. Experimental results are presented to demonstrate the effectiveness of the combined laser and vision strategy for road-edge and lane boundary detection
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