Outdoor simultaneous localisation and mapping using RatSLAM

Prasser, David, Milford, Michael, & Wyeth, Gordon (2006) Outdoor simultaneous localisation and mapping using RatSLAM. In Corke, Peter & Sukkarieh, Salah (Eds.) Field and Service Robotics : Results of the 5th International Conference, Springer Berlin Heidelbert, Port Douglas, TAS, pp. 143-154.

View at publisher


In this paper an existing method for indoor Simultaneous Localisation and Mapping (SLAM) is extended to operate in large outdoor environments using an omnidirectional camera as its principal external sensor. The method, RatSLAM, is based upon computational models of the area in the rat brain that maintains the rodent’s idea of its position in the world. The system uses the visual appearance of different locations to build hybrid spatial-topological maps of places it has experienced that facilitate relocalisation and path planning. A large dataset was acquired from a dynamic campus environment and used to verify the system’s ability to construct representations of the world and simultaneously use these representations to maintain localisation.

Impact and interest:

3 citations in Scopus
3 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

123 since deposited on 12 Jan 2012
21 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 48029
Item Type: Conference Paper
Refereed: Yes
Keywords: SLAM, Omnidirectional vision
DOI: 10.1007/978-3-540-33453-8_13
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: © 2005 Springer Berlin Heidelbert
Copyright Statement: The original publication is available at SpringerLink
Deposited On: 12 Jan 2012 22:05
Last Modified: 01 Mar 2012 03:32

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page