A Lane Detection Method Based on Feature Point Segmented Fitting

Meng Bai; Min Hua Li; Ying Jun Lv

doi:10.4028/www.scientific.net/AMM.644-650.990

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650A Lane Detection Method Based on Feature Point...

A Lane Detection Method Based on Feature Point Segmented Fitting

Abstract:

To detect lane from structured road, this paper presents a novel lane detection method based on feature point segmented fitting approach. Firstly, feature points are extracted from the edge image, and then segmented fitting approach based on least squares is used to obtain the line equation of feature points, and the lane recognizing criterion for fitted line equation is further proposed to detect lane. Finally, the lane tracking method is proposed to detect lane in video frames. Experimental results demonstrate that the proposed lane detection method can effectively detect lane of structured road.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

990-993

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.990

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Online since:

September 2014

Authors:

Meng Bai*, Min Hua Li, Ying Jun Lv

Keywords:

Feature Points, Lane Detection, Least Square (LS), Structured Road

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