1. L. X. Zheng, W. C. Zhou, W. W. Tang, X. C. Zheng, A. Peng, H. R. Zheng. A 3D indoor positioning system based on low-cost MEMS sensors. Simulation Modelling Practice and Theory, vol. 65, pp. 45–56, 2016. Doi: 10.1016/j.simpat.2016.01.003.
2. A. Correa, M. Barcelo, A. Morell, J. L. Vicario. A review of pedestrian indoor positioning systems for mass market applications. Sensors, vol. 17, Article number 1927, 2017. Doi: 10.3390/s17081927.
3. J. Gimenez, A. Amicarelli, J. M. Toibero, F. d.Sciascio, R. Carelli. Iterated conditional modes to solve simultaneous localization and mapping in Markov random fields context. International Journal of Automation and Computing, vol. 15, no. 3, pp. 310–324, 2018. Doi: 10.1007/s11633-017-1109-4.
4. T. Z. Lv, C. X. Zhao, H. F. Zhang. An improved Fast-SLAM algorithm based on revised genetic resampling and SR-UPF. International Journal of Automation and Computing, vol. 15, no. 3, pp. 325–334, 2018. Doi: 10.1007/s11633-016-1050-y.
5. R. Harle. A survey of indoor inertial positioning systems for pedestrians. IEEE Communications Surveys & Tutorials, vol. 15, no. 3, pp. 1281–1293, 2013. Doi: 10.1109/SURV. 2012.121912.00075.