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Hafez, O.A., Arana, G.D., Chen, Y., Joerger, M. and Spenko, M. (2020) On Robot Localization Safety for Fixed-Lag Smoothing: Quantifying the Risk of Misassociation. 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, 20-23 April 2020, 306-317.
https://doi.org/10.1109/PLANS46316.2020.9110126

has been cited by the following article:

• TITLE: Hybrid Location Algorithm Based on Cuckoo and Statistical Manifold

  AUTHORS: Xiaofeng Qin, Bin Xia, Liye Zhang, Xianzhi Zheng

  KEYWORDS: Hybrid Location Algorithm, Statistical Manifold Method, Cuckoo Algorithm, Location Accuracy

  JOURNAL NAME: Journal of Computer and Communications, Vol.9 No.3, March 30, 2021

  ABSTRACT: To improve the location accuracy, a hybrid location algorithm based on cuckoo and statistical manifold method is proposed. It combines the cuckoo algorithm's strong global optimization ability and the statistical manifold’s accurate positioning ability fully. The simulation results show that the hybrid location algorithm has higher accuracy and reduces the influence of initial value selection on location accuracy.