Lane detection using directional random walks

Luo Wei Tsai, Jun Wei Hsieh, Chi Hung Chuang, Kuo Chin Fan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

43 引文 斯高帕斯(Scopus)

摘要

This paper proposes a novel lane detection method for extracting various lane lines from videos using the concept of directional random walks. Two major components are included in this method, i.e., lane segmentation extraction and edge linking. At first, we define proper structure elements to extract different lane mark features from input frames using a novel morphology-based approach. Then, a novel linking technique is proposed to link all "desired" lane mark features for lane line detection. The technique considers the linking process as a directional random walk which constructs a Markov probability matrix for measuring the direction relationships between lane segments. Then, from the matrix of transition probability, the correct locations of all lane lines can be decided and found from videos. Without defining any mathematical curve models, various road lane shapes and types can be well extracted from road frames even with complicated backgrounds. Experimental results show that the proposed scheme is powerful in lane detection.

原文???core.languages.en_GB???
主出版物標題2008 IEEE Intelligent Vehicles Symposium, IV
頁面303-306
頁數4
DOIs
出版狀態已出版 - 2008
事件2008 IEEE Intelligent Vehicles Symposium, IV - Eindhoven, Netherlands
持續時間: 4 6月 20086 6月 2008

出版系列

名字IEEE Intelligent Vehicles Symposium, Proceedings

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???event.eventtypes.event.conference???2008 IEEE Intelligent Vehicles Symposium, IV
國家/地區Netherlands
城市Eindhoven
期間4/06/086/06/08

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