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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 4197635, 9 pages
https://doi.org/10.1155/2017/4197635
Research Article

A FastSLAM Algorithm Based on Nonlinear Adaptive Square Root Unscented Kalman Filter

1School of Electrical and Control Engineering, Xi’an University of Science and Technology, Shaanxi, Xi’an 710054, China
2Key Laboratory of Embedded System and Service Computing, Tongji University, Ministry of Education, Shanghai 201804, China
3713th Institute of China Shipbuilding Industry Corporation, Zhengzhou, China
4Naval Representative Office in Zhengzhou Region, Zhengzhou, China

Correspondence should be addressed to Yu-feng Zhang

Received 26 August 2016; Revised 15 December 2016; Accepted 6 February 2017; Published 15 March 2017

Academic Editor: Francisco Valero

Copyright © 2017 Yu-feng Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yu-feng Zhang, Qi-xun Zhou, Ju-zhong Zhang, Yi Jiang, and Kai Wang, “A FastSLAM Algorithm Based on Nonlinear Adaptive Square Root Unscented Kalman Filter,” Mathematical Problems in Engineering, vol. 2017, Article ID 4197635, 9 pages, 2017. doi:10.1155/2017/4197635