Title :
Pedestrian Localization System based on Kalman Filter and Fuzzy Logic
Author :
Herrera, Edith Pulido ; Quirós, Ricardo ; Fabregat, German ; Ribo, Miguel ; Pinz, Axel
Author_Institution :
Jaume I Univ., Castellon
Abstract :
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.
Keywords :
Global Positioning System; Kalman filters; fuzzy logic; nonlinear filters; radio receivers; sensor fusion; Extended Kalman Filter; GPS receiver; digital compass; fuzzy logic; multiple sensors; outdoor environment applications; pedestrian localization system; Accelerometers; Cameras; Electronic mail; Fuzzy logic; Fuzzy systems; Global Positioning System; Navigation; Sensor fusion; Sensor phenomena and characterization; Sensor systems;
Conference_Titel :
Sensors, 2006. 5th IEEE Conference on
Conference_Location :
Daegu
Print_ISBN :
1-4244-0375-8
Electronic_ISBN :
1930-0395
DOI :
10.1109/ICSENS.2007.355830
