Geometric feature selection for vehicle pose estimation on dynamic road scenes

Jae Seok Jang, Kwang Hee Won, Soon Ki Jung

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

2 Scopus citations

Abstract

This paper suggests classification and selection of features based on geometric properties to accomplish more accurate visual odometry. We apply billboard sweep stereo algorithm and the homogeneous disparity representation to obtain several categories of geometric labels. And we combine the classes to estimate more accurate vehicle pose. In the experiments, the distant features are useful for estimating vehicle orientation and the features on the ground plane are proper for estimating vehicle position especially in crowded road scenes.

Original languageEnglish
Title of host publicationICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks
Pages119-122
Number of pages4
DOIs
StatePublished - 2013
Event5th International Conference on Ubiquitous and Future Networks, ICUFN 2013 - Da Nang, Viet Nam
Duration: 2 Jul 20135 Jul 2013

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference5th International Conference on Ubiquitous and Future Networks, ICUFN 2013
Country/TerritoryViet Nam
CityDa Nang
Period2/07/135/07/13

Keywords

  • vehicle motion estimation
  • visual odometry

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