Name
Abstract | ||
|---|---|---|
Real-time object tracking on a drone under a dynamic environment has been a challenging issue for many years, with existing approaches using off-line calculation or powerful computation units on board. This paper presents a new lightweight real-time onboard object tracking approach with multi-inertial sensing data, wherein a highly energy-efficient drone is built based on the Snapdragon flight boa... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2017.2750091 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Drones,Object detection,Real-time systems,Feature extraction,Sensors,Object tracking,Signal processing algorithms | Object detection,Computer vision,Digital signal processor,Feature extraction,PX4 autopilot,Video tracking,Autopilot,Artificial intelligence,Drone,Inertial measurement unit,Engineering | Journal |
Volume | Issue | ISSN |
19 | 1 | 1524-9050 |
Citations | PageRank | References |
5 | 0.45 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Chen | 1 | 14 | 7.57 |
| Yuanjie Dang | 2 | 8 | 1.88 |
| Ronghua Liang | 3 | 376 | 42.60 |
| Wei Zhu | 4 | 16 | 2.63 |
| Xiaofei He | 5 | 9139 | 386.38 |