Temporally scalable visual SLAM using a reduced pose graph

Temporally scalable visual SLAM using a reduced pose graph

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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...

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Bibliographic Details
Main Authors: Johannsson, Hordur, Kaess, Michael, Fallon, Maurice Francis, Leonard, John Joseph
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
Online Access:http://hdl.handle.net/1721.1/97551
https://orcid.org/0000-0002-8863-6550

Internet

http://hdl.handle.net/1721.1/97551
https://orcid.org/0000-0002-8863-6550

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