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A Visual Landmark Recognition System for Autonomous Robot Navigation

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2 Author(s)
Quoc V. Do ; University of South Australia ; Lakhmi C. Jain

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.

Published in:

2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)

Date of Conference:

Nov. 28 2006-Dec. 1 2006