Real-time video-based lane tracing system with the sliding focus window

Wally Chen*, Leon Jian, Hongke Zhang, Sy Yen Kuo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Lane tracing is the problem of estimating the geometric shape of the lane boundaries based on the image grabbed by a camera on board a vehicle. In this paper, a real-time video-based lane detection method is presented. By analysing the result of lane tracing, the behaviour of the vehicle is traced and the focus windows are placeable, which provides useful information to the next round detection recursively. The system is porting on both PC and iPhone 3G to verify the recognition rate and performance through field testing. With the knowledge of road model, it is applicable to the marked and the unmarked roads, as well as the dash and the solid paint line roads. Experimental results show that the proposed method is robust and the performance is capable for practical applications.

Original languageEnglish
Title of host publication2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
DOIs
StatePublished - 2011
Externally publishedYes
EventIEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States
Duration: 05 09 201108 09 2011

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

ConferenceIEEE 74th Vehicular Technology Conference, VTC Fall 2011
Country/TerritoryUnited States
CitySan Francisco, CA
Period05/09/1108/09/11

Keywords

  • edge detection
  • Hough transform
  • intelligent transportation system
  • lane departure warning
  • lane detection

Fingerprint

Dive into the research topics of 'Real-time video-based lane tracing system with the sliding focus window'. Together they form a unique fingerprint.

Cite this