Single camera vision-only SLAM on a suburban road network

Milford, Michael & Wyeth, Gordon (2008) Single camera vision-only SLAM on a suburban road network. In Proceedings of IEEE International Conference on Robotics and Automation, IEEE, Pasadena Conference Center, Pasadena, CA, p. 3684.

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Simultaneous Localization And Mapping (SLAM) 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. This paper presents a method for generating approximate rotational and translation velocity information from a single vehicle-mounted consumer camera, without the computationally expensive process of tracking landmarks. The method is tested by employing it to provide the odometric and visual information for the RatSLAM system while mapping a complex suburban road network. RatSLAM generates a coherent map of the environment during an 18 km long trip through suburban traffic at speeds of up to 60 km/hr. This result demonstrates the potential of ground based vision-only SLAM using low cost sensing and computational hardware.

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36 citations in Scopus
11 citations in Web of Science®
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ID Code: 32868
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
DOI: 10.1109/ROBOT.2008.4543776
ISBN: 9781424416462
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)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Deposited On: 24 Jun 2010 01:47
Last Modified: 15 Jul 2017 18:29

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