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12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00)
Vision based localisation for a mobile robot
Vancouver, British Columbia, Canada
November 13-November 15
ISBN: 0-7695-0909-6
ASCII Text
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F. Gechter, F. Charpillet, "Vision based localisation for a mobile robot," Tools with Artificial Intelligence, IEEE International Conference on, pp. 0229, 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00), 2000.
 
 
BibTex
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@article{ 10.1109/TAI.2000.889875,
author = {F. Gechter and F. Charpillet},
title = {Vision based localisation for a mobile robot},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2000},
isbn = {0-7695-0909-6},
pages = {0229},
doi = {http://doi.ieeecomputersociety.org/10.1109/TAI.2000.889875},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Vision based localisation for a mobile robot
SN - 0-7695-0909-6
SP
EP
A1 - F. Gechter,
A1 - F. Charpillet,
PY - 2000
KW - mobile robots; robot vision; sensor fusion; image matching; probability; image recognition; Markov processes; vision-based localisation system; mobile robot; representative image set; environment exploration; partially Markov decision process; data fusion; image matching; robot decisions; position estimation; probabilities; image recognition; principal components analysis
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
F. Gechter, LORIA, Nancy I Univ., France
F. Charpillet, LORIA, Nancy I Univ., France
Abstract: Presents a vision-based localisation system for a mobile robot that uses a representative set of images obtained during an initial exploration of the environment. This set of images makes it possible to represent the environment as a partially Markov decision process. The originality of this approach is the resulting data fusion process that uses both image matching and the decisions made by the robot in order to estimate the set of plausible positions of the robot and the associated probabilities. Image matching or recognition is achieved using principal components analysis.
Index Terms:
mobile robots; robot vision; sensor fusion; image matching; probability; image recognition; Markov processes; vision-based localisation system; mobile robot; representative image set; environment exploration; partially Markov decision process; data fusion; image matching; robot decisions; position estimation; probabilities; image recognition; principal components analysis
Citation:
F. Gechter, F. Charpillet, "Vision based localisation for a mobile robot," ictai, pp.0229, 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00), 2000
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