A vision-based collision warning system by surrounding vehicles detection

Bing-Fei Wu, Ying Han Chen*, Chih Chun Kao, Yen Feng Li, Chao Jung Chen

*Corresponding author for this work

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

To provide active notification and enhance drivers' awareness of their surroundings, a vision-based collision warning system that detects and monitors surrounding vehicles is proposed in this paper. The main objective is to prevent possible vehicle collisions by monitoring the status of surrounding vehicles, including the distance to the other vehicles in front, behind, to the left and to the right sides. In addition, the proposed system collects and integrates this information to provide advisory warnings to drivers. To offer the correct notification, an algorithm based on features of edge and morphology to detect vehicles is also presented. The proposed system has been implemented in embedded systems and evaluated on real roads in various lighting and weather conditions. The experimental results indicate that the vehicle detection ratios were higher than 97% in the daytime, and appropriate for real road applications.

Original languageEnglish
Pages (from-to)1203-1222
Number of pages20
JournalKSII Transactions on Internet and Information Systems
Volume6
Issue number4
DOIs
StatePublished - 25 Apr 2012

Keywords

  • Blind spots
  • Collision warning
  • Surrounding monitoring
  • Vehicle detection
  • Vision

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