Name
Abstract | ||
|---|---|---|
As a first step towards human and multiple-UAV interaction, we present a novel method for humans to interact with flying UAVs using locally on-board video cameras. Using machine vision techniques, our approach enables human operators to command and control Parrot drones by giving them directions to move, using simple hand gestures. When a direction to move is given, the robot controller estimates the angle and distance to move with the help of a face score system and the estimated hand direction. This approach offers mobile robots the ability localize with human operators and provides UAVs/UGVs with a better perception of the environment around the human. |
Year | Venue | DocType |
|---|---|---|
2014 | HRI | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jawad Nagi | 1 | 148 | 11.42 |
| Alessandro Giusti | 2 | 1023 | 92.34 |
| Gianni A. Di Caro | 3 | 721 | 51.79 |
| Luca Maria Gambardella | 4 | 7926 | 726.40 |