Proceedings of the International Conference on
Software, Knowledge, Information Management and Applications (SKIMA 2013)
Advanced Technology Solutions and Applications in Higher Education and Enterprises
 
(from Chapter 5: Optimisation, Planning and Decision Support)

 Full Citation and Abstract

Title: Comparative study of lane detection algorithms by histogram shapes and Hough transform
  Author(s): Mahasak Ketcham, Thittaporn Ganokratanaa, Sriphagaarucht Srinhichaarnun
  Address: Department of Information Technology Management, King Mongkut’s University of Technology North Bangkok, 1518 Pracharat 1 Rd, Wongsawang, Bangsue, Bangkok, 10800, Thailand
Department of Media Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha Uthit Rd, Bang Mod, Thung Khru, Bangkok 10140, Thailand
School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha Uthit Rd, Bang Mod, Thung Khru, Bangkok 10140, Thailand
maoquee @ hotmail.com, charisma_sbunny @ hotmail.com, sasipa.kal @ sit.kmutt.ac.th
  Reference: SKIMA 2013 Proceedings  pp. 189 - 196
  Abstract/
Summary
Lane detection for the driving system has been developed to aid a driver in the lane departure decision-making, to reduce a loss of concentration and to prevent an accident while driving. In this paper, we propose the useful solution for detecting lanes by comparing histogram shapes and Hough transform algorithms through digital image processing. The method presented here was tested on video sequences filmed by using a webcam camera to record the road as a video file (.avi). In this paper, researchers combine two algorithms to compare the similarities and differences between histogram and Hough transform algorithm for better lane detection results.
 
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