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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rigatos, G.G. |
| Copyright Year | 2010 |
| Abstract | The paper studies the problem of autonomous navigation of a multi-UAV system with the use of the Unscented Information Filter (UIF) and the Distributed Particle Filter (DPF). It is considered that $m$ UAV (helicopter) models are monitored by $n$ different ground stations. At each monitoring station a filter is used to track each UAV by fusing measurements which are provided by various UAV sensors, while by fusing the state estimates from the distributed local filters an aggregate state estimate for each UAV is obtained. The UIF and DPF estimated state vector is in turn used by a flatness-based controller that makes the UAV follow the desirable trajectories. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 711213 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424435739 |
| ISSN | 10903038 |
| DOI | 10.1109/VETECF.2010.5594384 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-06 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Unmanned aerial vehicles Covariance matrix Equations Mathematical model Information filters Particle filters Trajectory |
| Content Type | Text |
| Resource Type | Article |
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