Featureless vehicle-based visual SLAM with a consumer camera

Milford, Michael & Wyeth, Gordon (2007) Featureless vehicle-based visual SLAM with a consumer camera. In Dunbabin, Matthew & Srinivasan, Mandyam (Eds.) Proceedings of Australasian Conference on Robotics and Automation 2007, Brisbane, Queensland.

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The Simultaneous Localisation And Mapping (SLAM) problem is one of the major challenges in mobile robotics. Probabilistic techniques using high-end range finding devices are well established in the field, but recent work has investigated vision-only approaches. We present an alternative approach to the leading existing techniques, which extracts approximate rotational and translation velocity information from a vehicle-mounted consumer camera, without tracking landmarks. When coupled with an existing SLAM system, the vision module is able to map a 45 metre long indoor loop and a 1.6 km long outdoor road loop, without any parameter or system adjustment between tests. The work serves as a promising pilot study into ground-based vision-only SLAM, with minimal geometric interpretation of the environment.

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2 citations in Scopus
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ID Code: 32846
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISBN: 9780958758390
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 2007 [please consult the authors]
Deposited On: 24 Jun 2010 02:43
Last Modified: 29 Feb 2012 14:14

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