PERFORMANCE EVALUATION OF LANE DETECTION IMAGES BASED ON ADDITIVE HOUGH TRANSFORM ALGORITHM
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Abstract
This paper represents that lane coloration has become popular in real time vehicular adhoc system. Lane detection is normally helpful to localize path limits. Determine undesired lane variations and to enable approximation of the upcoming geometry of the road. There are different types of methods that are used for detecting lines i.e. Hough transform, clustering and curve fitting. The paper represents that by using these methods working efficiently but problem is that they fail or not give efficient results when there are curved lane road images. The objective of this paper is to improve lane coloration algorithm by modifying the Hough transform i.e. additive Hough transform with different performance metrics to improve the accuracy.
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