Abstract
A multi-sensor data fusion algorithm is developed in this paper, which combines a decentralized estimation approach together with image processing to obtain target attribute information. A neural network algorithm is applied to solve the problem of obtaining target attribute information. The major advantage of this fusion technique is that it uses data from several kinds of sensors to obtain better target measurement information and a more accurate estimation.
| Original language | English |
|---|---|
| Pages (from-to) | 203-209 |
| Number of pages | 7 |
| Journal | Journal of Control Systems and Technology |
| Volume | 5 |
| Issue number | 3 |
| Publication status | Published - 1997 Sep 1 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
Chung, Y-N., & Chen, J. (1997). Applying both kinematic and attribute information for a target tracking algorithm. Journal of Control Systems and Technology, 5(3), 203-209.