A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
LSD: A Fast Line Segment Detector with a False Detection Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Additive Hough Transform for Lane Detection
IEEE Embedded Systems Letters
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation
IEEE Transactions on Intelligent Transportation Systems
A Novel Lane Detection System With Efficient Ground Truth Generation
IEEE Transactions on Intelligent Transportation Systems
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An effective and robust algorithm for structured road in urban is proposed in this paper. Firstly, the adaptive segmentation method is used to determine reasonable Region of Interest (ROI) that covers all candidate lane markings. Secondly, line segments are extracted by Line Segment Detector (LSD) and be used as low level feature to extract the structural information of road scene. Thirdly, non-lane markings are eliminated by clustering on orientation information and vanishing point. Finally, the lanes are extracted from the remaining candidate lane markings. Experimental results on Caltech lane datasets show that the algorithm can extract lanes in complex structured road scenarios.