Name
Abstract | ||
|---|---|---|
We propose a novel low-complexity lidar gesture recognition system for mobile robot control robust to gesture variation. Our system uses a modular approach, consisting of a pose estimation module and a gesture classifier. Pose estimates are predicted from lidar scans using a Convolutional Neural Network trained using an existing stereo-based pose estimation system. Gesture classification is accomp... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SSRR53300.2021.9597855 | 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) |
Keywords | DocType | ISSN |
Gesture Recognition,Pose Estimation,Lidar,Teleoperation | Conference | 2374-3247 |
ISBN | Citations | PageRank |
978-1-6654-1764-8 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simon Chamorro | 1 | 0 | 0.34 |
| Jack Collier | 2 | 0 | 0.34 |
| François Grondin | 3 | 7 | 3.92 |