Name
Title | ||
|---|---|---|
auSense: Collaborative Airspace Sensing by Commercial Airplanes and Unmanned Aerial Vehicles |
Abstract | ||
|---|---|---|
In recent years, a large number of commercial airplanes equipped with sensors have been contributing to collecting the atmospheric composition and meteorological data. Based on a worldwide commercial airplane dataset, we identify an inherent limitation of such an airplane-based sensing system as airplanes fly through airspace with spatiotemporal dynamic. As a result, the sensed data is coarse-grai... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TVT.2020.2986219 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Airplanes,Meteorology,Robot sensing systems,Collaboration,Trajectory,Atmospheric modeling | Journal | 69 |
Issue | ISSN | Citations |
6 | 0018-9545 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Pan | 1 | 179 | 19.23 |
| Shining Li | 2 | 64 | 15.32 |
| Zeyu Ning | 3 | 0 | 0.34 |
| Bingqi Li | 4 | 1 | 1.71 |
| Qingquan Zhang | 5 | 0 | 2.70 |
| Ting Zhu | 6 | 31 | 11.09 |