Experimental validation of a low-cost integrated INS/GPS navigator for assistive positioning

The paper exposes the experimental validation of a synergic INS/GPS navigator with direct application in the assistive positioning of the old people. The data fusion algorithm used in the integration procedure of the two navigators is based on a Kalman filter. For the experimental testing, the detection platform was boarded on a land vehicle and the data were radio transmitted to a base station which run the software implementing the data fusion algorithm. Simultaneously with the integration of the INS and GPS systems, the developed positioning system monitors the vehicle position through its real time visualization on a map.