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We implement a wireless indoor navigation system based on the variational Gaussian process state-space model (GPSSM) with smartphone-collected WiFi received signal strength (RSS) and inertial measurement unit (IMU) readings.
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2015
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Z. Chen, H. Zou, H. Jiang, Q. Zhu, Y. C. Soh, and L. Xie, “Fusion of WiFi, smartphone sensors and landmarks using the Kalman filter for indoor localization,” Sensors , vol. 15, no. 1, pp. 715–732, January 2015
2015
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M. Bauer, M. van der Wilk, and C. E. Rasmussen, “Understanding probabilistic sparse Gaussian process approximations,” in Advances in Neural Information Processing Systems , Barcelona, Spain, December 2016, pp. 1533–1541
2016
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2017
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Closest in time.