Skip to main content

A Novel Detection Method of Preceding Vehicles at Night

Buy Article:

$107.14 + tax (Refund Policy)

The method proposed in this paper was based on infrared CCD, used taillights, license plate, edge and symmetry characters to detect and locate preceding vehicle. First, the infrared image was preprocessed, and then the proposed method extracted license plate and taillights characters. If these two characters cannot be extracted, vertical edges were used to get the interest area. This detection method also figured out the vertical axis of symmetry and the width of the candidate vehicle. Some important restrictions obtained from above steps, including license plate, taillights, edges, symmetry and height-width aspect ratio were used to validate the preceding vehicle in the interest area. The experimental results show that the proposed method is effective, reliable.

Keywords: Edge Character; Infrared CCD; Preceding Vehicles Detection; Taillights and License Plate

Document Type: Research Article

Affiliations: 1: College of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China 2: College of Traffic and Transportation, Jilin University, Changchun, 130000, China

Publication date: 01 April 2016

More about this publication?
  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
  • Editorial Board
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content