QUT ePrints

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. (In Press)

View at publisher

Abstract

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.

Impact and interest:

11 citations in Scopus
Search Google Scholar™

Citation countsare 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:

638 since deposited on 01 Apr 2010
168 in the past twelve months

Full-text downloadsdisplays 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: 31569
Item Type: Conference Paper
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 11:41
Last Modified: 01 Mar 2012 00:18

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page