A robust vision-based lane boundaries detection approach for intelligent vehicles

M. S. Javadi, Hannan M A, Salina Abdul Samad, Aini Hussain

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

The intelligence of the vehicle is identified by the surrounding environment. Lane detection is one of the vision-based features that used for assisting and controlling tasks for the intelligent vehicles. In this study, an overview of lane detection approaches is presented and then a model, based on inverse perspective mapping, edge detection and fitting lines algorithm is introduced. The system was tested on the urban road image data base in different light conditions. The performance of the system in term of lane marking detection was 97.2%. The results were accurate and robust with respect to the shadows and worn lane markings and also appropriate for real time procedure.

Original languageEnglish
Pages (from-to)1184-1192
Number of pages9
JournalInformation Technology Journal
Volume11
Issue number9
DOIs
Publication statusPublished - 2012

Fingerprint

Intelligent vehicle highway systems
Edge detection

Keywords

  • Edge detection
  • Hough transform
  • Intelligent vehicles
  • Inverse perspective mapping
  • Lane boundaries

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

A robust vision-based lane boundaries detection approach for intelligent vehicles. / Javadi, M. S.; M A, Hannan; Abdul Samad, Salina; Hussain, Aini.

In: Information Technology Journal, Vol. 11, No. 9, 2012, p. 1184-1192.

Research output: Contribution to journalArticle

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