LANA: a lane extraction algorithm that uses frequency domain features | IEEE Journals & Magazine | IEEE Xplore

LANA: a lane extraction algorithm that uses frequency domain features


Abstract:

This paper introduces a new algorithm, called lane-finding in another domain (LANA), for detecting lane markers in images acquired from a forward-looking vehicle-mounted ...Show More

Abstract:

This paper introduces a new algorithm, called lane-finding in another domain (LANA), for detecting lane markers in images acquired from a forward-looking vehicle-mounted camera. The method is based on a novel set of frequency domain features that capture relevant information concerning the strength and orientation of spatial edges. The frequency domain features are combined with a deformable template prior, in order to detect the lane markers of interest. Experimental results that illustrate the performance of this algorithm on images with varying lighting and environmental conditions, shadowing, lane occlusion(s), solid and dashed lines, etc. are presented. LANA detects lane markers well under a very large and varied collection of roadway images. A comparison is drawn between this frequency feature-based LANA algorithm and the spatial feature-based LOIS lane detection algorithm. This comparison is made from experimental, computational and methodological standpoints.
Published in: IEEE Transactions on Robotics and Automation ( Volume: 15, Issue: 2, April 1999)
Page(s): 343 - 350
Date of Publication: 06 August 2002

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