Paper Info
Title
Environmental Modeling With Fingerprint Sequences For Topological Global Localization
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.
Year
DOI
Venue
2003
10.1109/IROS.2003.1249743
IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4
Keywords
DocType
Citations 
feature extraction,string matching,difference set,fingerprint identification
Conference
27
PageRank 
References 
Authors
1.70
11
5
Name
Order
Citations
PageRank
Pierre Lamon118114.30
Adriana Tapus263865.04
Etienne Glauser3271.70
Nicola Tomatis469951.47
Roland Siegwart57640551.49