Name
Abstract | ||
|---|---|---|
The problem of localizing an underwater vehicle in a structure environment using sonar returns and measured acceleration is addressed. In particular the environment is modeled as a sequence of segments with constant orientation. the combined estimation of the vehicle motion and the orientation of the segments is obtained using an extended Kalman filter based on a suitable state-space model. Several experiments in the test tank show the effectiveness of this technique. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1080/00207729808929603 | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE |
Keywords | Field | DocType |
extended kalman filter,state space model,motion estimation | Extended Kalman filter,Control theory,Kalman filter,Sonar,Acceleration,Motion estimation,Underwater vehicle,Mathematics,Underwater | Journal |
Volume | Issue | ISSN |
29 | 10 | 0020-7721 |
Citations | PageRank | References |
3 | 0.95 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Cristi | 1 | 158 | 203.50 |
| Massimo Caccia | 2 | 131 | 26.20 |
| Gianmarco Veruggio | 3 | 67 | 15.53 |