Name
Abstract | ||
|---|---|---|
Aiming at multirate multisensor tracking system, an interactive fusion algorithm named IFATF is proposed. Local sensors observe the moving target independently and take the filter estimation letting the nearer estimation of fusion center and the sensor itself as previous estimation. Fusion center firstly gets the states and covariance of local sensors at the fusion time by kalman prediction, then fuses them using covariance intersection method. The feasibility and validity of the algorithm are shown through simulations. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICIG.2009.35 | ICIG |
Keywords | Field | DocType |
wavelet transforms,covariance intersection,kalman filters,sensor fusion,interactive,object tracking,tracking,tracking system,real time systems,noise,covariance analysis,estimation | Asynchronous communication,Computer vision,Computer science,Covariance intersection,Tracking system,Kalman filter,Sensor fusion,Video tracking,Fusion center,Artificial intelligence,Covariance | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||