Lateral driving assistance using optical flow and scene analysis

Kai-Tai Song*, Hung Yi Chen

*Corresponding author for this work

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

13 Scopus citations

Abstract

This paper presents a novel algorithm of image-based motion detection for lateral driving assistance. We propose a feature-based motion detection algorithm, which combines optical-flow estimation and road plane segmentation using FOE concept. The developed algorithm can segment moving objects from a changing background efficiently. Both cars and motorcycles on the lateral side of a driving vehicle can be detected. We have realized the system in a stand-alone image processing platform, which can operate independently on a vehicle using a CMOS image sensor and embedded processor. Experimental results show that the proposed methods are effective to segment moving vehicles from a moving background for lateral safety assistance.

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007
Pages624-629
Number of pages6
DOIs
StatePublished - 1 Dec 2007
Event2007 IEEE Intelligent Vehicles Symposium, IV 2007 - Istanbul, Turkey
Duration: 13 Jun 200715 Jun 2007

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference2007 IEEE Intelligent Vehicles Symposium, IV 2007
CountryTurkey
CityIstanbul
Period13/06/0715/06/07

Keywords

  • Driver safety assistance
  • Image processing
  • Optical flow

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