Name
Title | ||
|---|---|---|
Multi-Unmanned Aerial Vehicle (UAV) Cooperative Fault Detection Employing Differential Global Positioning (DGPS), Inertial and Vision Sensors. |
Abstract | ||
|---|---|---|
This paper presents a method to increase the reliability of Unmanned Aerial Vehicle (UAV) sensor Fault Detection and Identification (FDI) in a multi-UAV context. Differential Global Positioning System (DGPS) and inertial sensors are used for sensor FDI in each UAV. The method uses additional position estimations that augment individual UAV FDI system. These additional estimations are obtained using images from the same planar scene taken from two different UAVs. Since accuracy and noise level of the estimation depends on several factors, dynamic replanning of the multi-UAV team can be used to obtain a better estimation in case of faults caused by slow growing errors of absolute position estimation that cannot be detected by using local FDI in the UAVs. Experimental results with data from two real UAVs are also presented. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.3390/s90907566 | SENSORS |
Keywords | Field | DocType |
UAVs,fault detection and identification,multi-UAV,vision sensors,GPS | Inertial frame of reference,Fault detection and identification,Fault detection and isolation,Simulation,Noise level,Real-time computing,Electronic engineering,Inertial measurement unit,Global Positioning System,Engineering | Journal |
Volume | Issue | ISSN |
9 | 9 | 1424-8220 |
Citations | PageRank | References |
25 | 1.39 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guillermo Heredia | 1 | 144 | 20.00 |
| Fernando Caballero | 2 | 610 | 45.38 |
| Iván Maza | 3 | 25 | 1.39 |
| Luis Merino | 4 | 25 | 1.39 |
| Antidio Viguria | 5 | 154 | 19.05 |
| Aníbal Ollero | 6 | 26 | 1.74 |