Pedestrian Localization System based on Kalman Filter and Fuzzy Logic

In this paper a pedestrian localization system for outdoor environment applications is presented. The designed system is based on multiple sensors: GPS receiver, a digital compass and a orientation tracker. A GPS sensor is used to obtain the absolute position of the pedestrian in outdoor, while, the digital compass and orientation tracker provide the pedestrian's orientation. To improve the response and system reliability a prototype was designed based on the extended Kalman filter (EKF) and fuzzy logic.

[1]  Jang Gyu Lee,et al.  A Personal Navigation System Using Low-Cost MEMS/GPS/Fluxgate , 2003 .

[2]  M. Kourogi,et al.  A method of personal positioning based on sensor data fusion of wearable camera and self-contained sensors , 2003, Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003..

[3]  P. Vanheeghe,et al.  Introduction of contextual information in a multisensor EKF for autonomous land vehicle positioning , 2005, Proceedings. 2005 IEEE Networking, Sensing and Control, 2005..

[4]  Y. Bar-Shalom.  Tracking and data association , 1988 .