Augmenting RatSLAM using FAB-MAP-based visual data association

Maddern, William, Glover, Arren, Milford, Michael, & Wyeth, Gordon (2009) Augmenting RatSLAM using FAB-MAP-based visual data association. In Scheding, Steve (Ed.) Proceedings of Australasian Conference on Robotics and Automation 2009, Australian Robotics and Automation Association Inc, Sydney.

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This paper investigates the use of the FAB-MAP appearance-only SLAM algorithm as a method for performing visual data association for RatSLAM, a semi-metric full SLAM system. While both systems have shown the ability to map large (60-70km) outdoor locations of approximately the same scale, for either larger areas or across longer time periods both algorithms encounter difficulties with false positive matches. By combining these algorithms using a mapping between appearance and pose space, both false positives and false negatives generated by FAB-MAP are significantly reduced during outdoor mapping using a forward-facing camera. The hybrid FAB-MAP-RatSLAM system developed demonstrates the potential for successful SLAM over large periods of time.

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ID Code: 32854
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISBN: 9780980740400
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Copyright Owner: Copyright 2009 [please consult the authors]
Deposited On: 24 Jun 2010 03:21
Last Modified: 29 Feb 2012 14:14

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