Machine Vision to Lane Departure Sensing System for Urban Traffic

Yu Chi Leng, Chung Li Tai, Chieh Li Chen

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


A lane departure sensing system with uncalibrated camera is proposed in this paper. The study focuses on urban traffic scenes with varieties of lane marks instead of simple highway scenes. A distance map and non-symmetrical 2-D Gaussian distribution matrix are used to generate various voting value for Hough transform, so that the lane marking and lane signs are excluded and the accuracy of lane boundary detection is improved. Lane width and lane boundary continuity are obtained for better reliability and quality of lane detection for urban traffic scenes. The result of lane boundary detection is then used to establish a lane departure sensing system, which can be used to enhance driving safety. Experimental results of urban road scenarios have demonstrated feasibility and robustness of the proposed method.

Original languageEnglish
Pages (from-to)201-211
Number of pages11
JournalJournal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao
Issue number3
Publication statusPublished - 2016 Jun 1

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering


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