Active Simultaneous Localization and Mapping Method Based on Model Prediction
Author:
Affiliation:
1. Federal Research Centre “Computer Science and Control” of Russia Academy of Sciences, Vavilov Str., 44, 2, 119333 Moscow, Russia
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/33/1/16/pdf
Reference22 articles.
1. Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing;Dellaert;Int. J. Robot. Res.,2006
2. iSAM2: Incremental Smoothing and Mapping Using the Bayes Tree;Kaess;Int. J. Robot. Res.,2012
3. The GraphSLAM Algorithm With Applications to Large-Scale Mapping of Urban Structures;Thrun;Int. J. Robot. Res.,2005
4. Montemerlo, M., Thrun, S., Koller, D., and Wegbreit, B. (August, January 28). FastSLAM: A factored solution to the simultaneous localization and mapping problem. Proceedings of the AAAI National Conference on Artificial Intelligence, Edmonton, AL, Canada.
5. Factor Graphs and the Sum-Product Algorithm;Kschischang;IEEE Trans. Inf. Theory,2001
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