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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yaping Dai Jie Chen Xiaodong Liu |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Autom. Control, Beijing Inst. of Technol., China (Yaping Dai) |
| Abstract | Describes an algorithm for fusion of tracks created by two kinds of sensor (radar and IR), these measurement data are obtained with different dimensions and different sample rates. By means of the time matching technique, two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm for data fusion is discussed; this approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation. |
| Starting Page | 230 |
| Ending Page | 233 |
| File Size | 249870 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780373065 |
| DOI | 10.1109/SICE.2001.977838 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-07-27 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | SICE |
| Subject Keyword | Sensor fusion Target tracking Radar tracking Sensor phenomena and characterization Infrared sensors Radar measurements Information filtering Information filters Matched filters Rotation measurement |
| Content Type | Text |
| Resource Type | Article |
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