Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing

Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing

We present a parallelized navigation architecture that is capable of running in real-time and incorporating long-term loop closure constraints while producing the optimal Bayesian solution. This architecture splits the inference problem into a low-latency update that incorporates new measurements us...

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Bibliographic Details
Main Authors: Williams, Stephen, Indelman, Vadim, Kaess, Michael, Roberts, Richard, Leonard, John Joseph, Dellaert, Frank
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Sage Publications 2015
Online Access:http://hdl.handle.net/1721.1/97575
https://orcid.org/0000-0002-8863-6550

Internet

http://hdl.handle.net/1721.1/97575
https://orcid.org/0000-0002-8863-6550

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