Edge landmarks in monocular SLAM

Ethan Eade, Tom Drummond

Research output: Contribution to conferencePaper

71 Citations (Scopus)

Abstract

While many visual simultaneous localisation and mapping (SLAM) systems use point features as landmarks, few take advantage of the edge information in images. Those SLAM systems that do observe edge features do not consider edges with all degrees of freedom. Edges are difficult to use in vision SLAM because of selection, observation, initialisation and data association challenges. However, a map that includes edge features contains higher-order geometric information useful both during and after SLAM. We define a well-localised edge landmark and present an efficient algorithm for selecting such landmarks. Further, we describe how to initialise new landmarks, observe mapped landmarks in subsequent images, and deal with the data association challenges of edges. Initial operation of these methods in a particle-filter based SLAM system is presented.

Original languageEnglish
Pages7-16
Number of pages10
Publication statusPublished - 1 Jan 2006
Externally publishedYes
EventBritish Machine Vision Conference 2006 - Edinburgh, United Kingdom
Duration: 4 Sep 20067 Sep 2006
Conference number: 17th
https://dblp.org/db/conf/bmvc/bmvc2006

Conference

ConferenceBritish Machine Vision Conference 2006
Abbreviated titleBMVC 2006
CountryUnited Kingdom
CityEdinburgh
Period4/09/067/09/06
Internet address

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