Novel Boundary Determination Algorithm for Lane Detection

A novel boundary determination algorithm (BDA) for robust lane detection is presented. The algorithm can track a complete lane boundary based on partial lane edge points provided there exist sufficient orientation similarity there between. BDA mainly comprises two parts: (a) utilizing an edge detection method to extract orientations and coordinates of edge points; (b) repeatedly applying two circular masks, i.e., a probing circular mask followed by a tracing circular mask, to collect two separate sets of orientations of edge points and from which to sift out a primary orientation for tracking a curve as perceived by human eyes. The algorithm is characterized in that the probing circular mask acts to probe ahead for the tracing circular mask in order to avoid deviation from the right track.

• Record URL:
  • https://doi.org/10.1109/ICCVE.2013.6799861
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6784566
• Supplemental Notes:
  • Copyright © 2013, IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Tsai, Shan-Chun
  • Huang, Bo-Yu
  • Wang, Yi-Hua
  • Lin, Chiao-Wei
  • Lin, Chang-Te
  • Tseng, Chun-Shun
  • Wang, Jung-Hua
• Conference:
  • 2013 International Conference on Connected Vehicles and Expo (ICCVE)
  • Location: Las Vegas Nevada, United States
  • Date: 2013-12-2 to 2013-12-6
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 598-603
• Monograph Title: 2013 International Conference on Connected Vehicles and Expo (ICCVE 2013)

Subject/Index Terms

• TRT Terms: Algorithms; Automatic tracking; Edge detection; Eye; Highway curves; Lane changing
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01614449
• Record Type: Publication
• ISBN: 9781479924929
• Files: TRIS
• Created Date: Oct 25 2016 9:59AM