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MULTI-SENSOR DATA FUSION FOR FUTURE TELEMATICS APPLICATION
Seong-BaekKim,장병태,Seung-YongLee,Ji-HoonChoi,Kyung-HoChoi 한국우주과학회 2003 Journal of Astronomy and Space Sciences Vol.20 No.4
In this paper, we present multi-sensor data fusion for telematics application. Suc-cessful telematics can be realized through the integration of navigation and spatialinformation. The well-determined acquisition of vehicles position plays a vital rolein applicationservice. ThedevelopmentofGPS is used to providethe navigationdata,but the performance is limited in areas where poor satellite visibility environment ex-ists. Hence, multi-sensor fusion including IMU (Inertial Measurement Unit), GPS(Global Positioning System), and DMI (Distance Measurement Indicator) is requiredto provide the vehicles position to service provider and driver behind the wheel. Themulti-sensor fusion is implemented via algorithm based on Kalman ltering tech-nique. Navigation accuracy can be enhanced using this ltering approach. For theverication of fusion approach, land vehicle test was performed and the results werediscussed. Results showed that the horizontal position errors were suppressed around1 meter level accuracy under simulated non-GPS availability environment. Undernormal GPS environment, the horizontal position errors were under 40 cm in curvetrajectory and 27cm in linear trajectory, which are denitely depending on vehiculardynamics.