Pedestrian Navigation Based on Inertial Sensors, Indoor Map, and WLAN Signals

Author:

Leppäkoski H.,Collin J.,Takala J.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Reference26 articles.

1. Levi, R.W., & Judd, T. (1996). Dead reckoning navigational system using accelerometer to measure foot impacts. United States Patent No. 5,583,776.

2. Judd, T. (1997). A personal dead reckoning module. In Proc. ION GPS 97, Kansas City, MO, USA, 16–19 September (pp. 47–51).

3. Ladetto, Q. (2001). On foot navigation: continuous step calibration using both complementary recursive prediction and adaptive Kalman filtering. In Proc. ION GPS 2000, Salt Lake City, UT, USA, 19–22 September (pp. 1735–1740).

4. Fang, L., Antsaklis, P.J., Montestruque, L.A., McMickell, M.B., Lemmon, M., Hui Fang, T.S., Koutroulis, I., Haenggi, M., Xie, M., Xie, X. (2005). Design of a wireless assisted pedestrian dead reckoning system—the NavMote experience. IEEE Transactions on Instrumentation and Measurement, 54(6), 2342–2358.

5. Bahl, P., & Padmanabhan, V.N. (2000). Radar: an in-building rf-based user location and tracking system. In: Proc. IEEE INFOCOM 2000 (Vol. 2, pp. 775–785).

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