National Taiwan Ocean University Institutional Repository:Item 987654321/44102
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 28611/40652
造访人次 : 754140      在线人数 : 52
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻


题名: Lane Detection Using Directional Random Walks
作者: Luo-Wei Tsai
Jun-Wei Hsieh
Chi-Hung Chuang
Kuo-Chin Fan
贡献者: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
关键词: Vehicles
日期: 2008-06
上传时间: 2017-11-14T08:46:00Z
出版者: 2008 IEEE Intelligent Vehicles Symposium (IV’08)
摘要: Abstract: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.
显示于类别:[資訊工程學系] 演講及研討會


档案 描述 大小格式浏览次数



著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈