Combining of IMM filtering and DS data association for multitarget tracking
نویسندگان
چکیده
The tracking of targets in road situation represents a challenge for both the measurement to track association and the positional estimation algorithms. Previous simulation have shown that the data association method based on evidence theory has a good performance, compared with the Nearest Neighbor (NN) and cheap JPDAF method, moreover it has proved that the Interacting Multiple Models (IMM) method has a superior tracking performance than other state estimators. So in this paper, the IMM method and the data association method based on evidence theory were integrated into one algorithm. Monte Carlo simulation results indicate that the new method has a high tracking accuracy.
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