RESERCH ON MULTI-SENSOR TRAFFICINFORMATION FUSION BASED ON KALMANFILTERING THEORY

摘要

Based on Kalman filtering theory, this paper presents two models of multi-sensor trafficinformation fusion using the data from several transport detectors aiming at the multi-sensorsystem during the transport information collection. Based on the models we set up the fusionmodels for three different detection equipments. We test the models with the simulated databased on the detected data at the end of the paper. And then make a clear analysis andcompare on the two models. The conclusion shows that these two models are applicable forthe real condition and have the different advantages.