A lane detection approach based on intelligent vision

Shu Chung Yi, Yeong Chin Chen, Ching Haur Chang

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)


This paper proposes driver assistant system architecture based on image processing techniques. A camera is mounted on the vehicle front window to detect the road lane markings and determine the vehicle's position with respect to the lane lines. A modified approach is proposed to accelerate the HT process in a computationally efficient manner, thereby making it suitable for real-time lane detection. The acquired image sequences are analyzed and processed by the proposed system, which automatically detects the lane lines. The experimental results show that the system works successfully for lane line detection and lane departure prediction.

Original languageEnglish
Pages (from-to)23-29
Number of pages7
JournalComputers and Electrical Engineering
Publication statusPublished - 2015 Feb 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)
  • Electrical and Electronic Engineering

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