Environmental Modeling with Fingerprint Sequences for Topological Global Localization

Pierre Lamon, Adriana Tapus, Etienne Glauser, Nicola Tomatis, Roland Siegwart

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper a perception approach allowing for high distinctiveness is presented. The method works in accordance to the fingerprint concept. Such representation allows using a very flexible matching approach based on the minimum energy algorithm. The whole extraction and matching approach is presented in details and viewed in a topological optic, where the matching result can directly be used as observation function for a topological localization approach. The experimentation section will validate the fingerprint approach and present different set of experiments in order to explain practically the choice of different types of features.

Original languageEnglish
Pages3781-3786
Number of pages6
Publication statusPublished - 26 Dec 2003
Externally publishedYes
Event2003 IEEE/RSJ International Conference on Intelligent Robots and Systems - Las Vegas, NV, United States
Duration: 27 Oct 200331 Oct 2003

Conference

Conference2003 IEEE/RSJ International Conference on Intelligent Robots and Systems
Country/TerritoryUnited States
CityLas Vegas, NV
Period27/10/0331/10/03

Fingerprint

Dive into the research topics of 'Environmental Modeling with Fingerprint Sequences for Topological Global Localization'. Together they form a unique fingerprint.

Cite this