Aerial SLAM with a single camera using visual expectation

Milford, Michael, Schill, Felix, Corke, Peter, Mahony, Robert, & Wyeth, Gordon (2011) Aerial SLAM with a single camera using visual expectation. In Aria, Hirohiko (Ed.) Proceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Shanghai International Convention Center, Shanghai, pp. 2506-2512.

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Abstract

Micro aerial vehicles (MAVs) are a rapidly growing area of research and development in robotics. For autonomous robot operations, localization has typically been calculated using GPS, external camera arrays, or onboard range or vision sensing. In cluttered indoor or outdoor environments, onboard sensing is the only viable option. In this paper we present an appearance-based approach to visual SLAM on a flying MAV using only low quality vision. Our approach consists of a visual place recognition algorithm that operates on 1000 pixel images, a lightweight visual odometry algorithm, and a visual expectation algorithm that improves the recall of place sequences and the precision with which they are recalled as the robot flies along a similar path. Using data gathered from outdoor datasets, we show that the system is able to perform visual recognition with low quality, intermittent visual sensory data. By combining the visual algorithms with the RatSLAM system, we also demonstrate how the algorithms enable successful SLAM.

Impact and interest:

5 citations in Scopus
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2 citations in Web of Science®

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ID Code: 46061
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Global Positioning System, Cameras, Simultaneous Localization and Mapping, Vehicles, Visualization
DOI: 10.1109/ICRA.2011.5980329
ISBN: 9781612843858
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: Copyright 2011 IEEE
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: 20 Sep 2011 23:04
Last Modified: 20 Sep 2011 23:04

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