Temporally scalable visual SLAM using a reduced pose graph
In this paper, we demonstrate a system for temporally scalable visual SLAM using a reduced pose graph representation. Unlike previous visual SLAM approaches that maintain static keyframes, our approach uses new measurements to continually improve the map, yet achieves efficiency by avoiding adding r...
Main Authors: | Johannsson, Hordur, Kaess, Michael, Fallon, Maurice Francis, Leonard, John Joseph |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2015
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Online Access: | http://hdl.handle.net/1721.1/97551 https://orcid.org/0000-0002-8863-6550 |
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