FAB-MAP + RatSLAM : appearance-based SLAM for multiple times of day

Glover, Arren, Maddern, William, Milford, Michael, & Wyeth, Gordon (2010) FAB-MAP + RatSLAM : appearance-based SLAM for multiple times of day. In Proceedings of 2010 IEEE International Conference on Robotics and Automation (ICRA2010), IEEE, Egan Center, Anchorage, Alaska.

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Appearance-based mapping and localisation is especially challenging when separate processes of mapping and localisation occur at different times of day. The problem is exacerbated in the outdoors where continuous change in sun angle can drastically affect the appearance of a scene. We confront this challenge by fusing the probabilistic local feature based data association method of FAB-MAP with the pose cell filtering and experience mapping of RatSLAM. We evaluate the effectiveness of our amalgamation of methods using five datasets captured throughout the day from a single camera driven through a network of suburban streets. We show further results when the streets are re-visited three weeks later, and draw conclusions on the value of the system for lifelong mapping.

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40 citations in Scopus
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13 citations in Web of Science®

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ID Code: 31569
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: SLAM, mapping, robotics
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2010 IEEE and the authors
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 01 Apr 2010 01:41
Last Modified: 29 Feb 2012 14:18

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