Robust Lane Detection using Two-stage Feature Extraction with Curve Fitting
作者：
Highlights：
• We proposed a novel lane detection method.
• Our method regards lane boundary as collection of small line segments.
• We proposed a modified Hough Transform to detect small line segments.
• Small line segments are clustered based on our proposed similarity measurement.
• Removing interferential clusters depends on the balance of small line segments.
摘要
Highlights•We proposed a novel lane detection method.•Our method regards lane boundary as collection of small line segments.•We proposed a modified Hough Transform to detect small line segments.•Small line segments are clustered based on our proposed similarity measurement.•Removing interferential clusters depends on the balance of small line segments.
论文关键词：Lane detection,Hough Transform,Cluster,Curve fitting
论文评审过程：Received 29 July 2015, Revised 18 September 2015, Accepted 11 December 2015, Available online 31 December 2015, Version of Record 23 August 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.12.010
