Laser and camera for road edge and mid-line detection

Abstract
Presents a methodology for extracting road edge and lane information for smart and intelligent navigation of vehicles. The range information provided by a fast 2D 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 mid-line from a CCD camera image using an extended Kalman filter. Experimental results are presented to demonstrate the effectiveness of the combined laser and vision strategy for road-edge and lane detection.

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