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International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
A Visual Landmark Recognition System for Autonomous Robot Navigation
Sydney Australia
November 28-December 01
ISBN: 0-7695-2731-0
ASCII Text
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Quoc V. Do, Lakhmi C. Jain, "A Visual Landmark Recognition System for Autonomous Robot Navigation," Computational Intelligence for Modelling, Control and Automation, International Conference on, pp. 237, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006.
 
 
BibTex
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@article{ 10.1109/CIMCA.2006.32,
author = {Quoc V. Do and Lakhmi C. Jain},
title = {A Visual Landmark Recognition System for Autonomous Robot Navigation},
journal ={Computational Intelligence for Modelling, Control and Automation, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2731-0},
pages = {237},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.32},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Intelligence for Modelling, Control and Automation, International Conference on
TI - A Visual Landmark Recognition System for Autonomous Robot Navigation
SN - 0-7695-2731-0
SP
EP
A1 - Quoc V. Do,
A1 - Lakhmi C. Jain,
PY - 2006
KW - null
VL - 0
JA - Computational Intelligence for Modelling, Control and Automation, International Conference on
ER -
 
Quoc V. Do, University of South Australia
Lakhmi C. Jain, University of South Australia
This paper presents a vision system for autonomously guiding a robot along a known route using a single CCD camera. The prominent feature of the system is the real-time recognition of shape-based visual landmarks in cluttered backgrounds, using a memory feedback modulation (MFM) mechanism, which provides a means for the knowledge from the memory to interact and enhance the earlier stages in the system. Its feasibility in autonomous robot navigation is demonstrated in both indoor and outdoor experiments using a vision-based navigating vehicle.
Citation:
Quoc V. Do, Lakhmi C. Jain, "A Visual Landmark Recognition System for Autonomous Robot Navigation," cimca, pp.237, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
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