An Efficient Computational Hybrid Filter to the SLAM Problem for an Autonomous Wheeled Mobile Robot
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12555-020-0430-9.pdf
Reference26 articles.
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2. Y. Y. Kang, “Conjugate unscented FastSLAM for autonomous mobile robots in large-scale environments,” Cognitive Computation, vol. 6, no. 3, pp. 496–509, 2014.
3. D. S. Pires and G. L. de O. Serra, “Methodology for evolving fuzzy Kalman filter identification,” International Journal of Control, Automation and Systems, vol. 17, no. 3, pp. 793–800, 2019.
4. J. Li and X. Xu, “Unified forms of the CDR method of approximate reasoning on Antanassov’s intuitionistic fuzzy sets and its property analysis,” International Journal of Computational Intelligence, vol. 34, pp. 1–21, 2018.
5. R. Havangi, “A Mutated FastSLAM using soft computing,” Industrial Robot: An International Journal, vol. 44, no. 4, pp. 416–427, 2017.
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