Data

OpenRatSLAM source code

Queensland University of Technology
Milford, Michael ; Wyeth, Gordon ; Ball, David ; Heath, Scott
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25912/5dc37e21ccb94&rft.title=OpenRatSLAM source code &rft.identifier=10.25912/5dc37e21ccb94&rft.publisher=Queensland University of Technology&rft.description=RatSLAM is a robot navigation and SLAM system based on computational models of the hippocampus. The approach uses a combination of appearance based visual scene matching, competitive attractor networks, and a semi-metric topological map representation. The approach has been proven in a real time 40 hour robot delivery task, mapping an entire Australian suburb and on Oxford's New College dataset. Notably, RatSLAM works well on images obtained from cheap cameras. The RatSLAM system contrasts many of the other SLAM approaches that involve expensive precision laser sensors and occupancy grids. &rft.creator=Milford, Michael &rft.creator=Wyeth, Gordon &rft.creator=Ball, David &rft.creator=Heath, Scott &rft.date=2019&rft.edition=1&rft_rights=Copyright and V.i.S.d.P.: Michael Milford (algorithm); Gordon Wyeth (algorithm); David Ball (code); Scott Heath (code); https://openslam-org.github.io/ https://openslam.org/&rft_rights=GNU General Public License (GPL) http://www.gnu.org/licenses/gpl.html&rft_subject=08&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
Gpl

GNU General Public License (GPL)
http://www.gnu.org/licenses/gpl.html

Copyright and V.i.S.d.P.: Michael Milford (algorithm); Gordon Wyeth (algorithm); David Ball (code); Scott Heath (code); https://openslam-org.github.io/
https://openslam.org/

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This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
The authors allow the users of OpenSLAM.org to use and modify the source code for their own research. Any commercial application, redistribution, etc has to be arranged between users and authors individually and is not covered by OpenSLAM.org.

Contact Information

Postal Address:
Dr. Michael Milford
Ph: +61 7 3138 9969

michael.milford@qut.edu.au

Full description

RatSLAM is a robot navigation and SLAM system based on computational models of the hippocampus. The approach uses a combination of appearance based visual scene matching, competitive attractor networks, and a semi-metric topological map representation. The approach has been proven in a real time 40 hour robot delivery task, mapping an entire Australian suburb and on Oxford's New College dataset. Notably, RatSLAM works well on images obtained from cheap cameras. The RatSLAM system contrasts many of the other SLAM approaches that involve expensive precision laser sensors and occupancy grids.

Data time period: 2004 to 22 05 2014

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