Name
Abstract | ||
|---|---|---|
We focus on the research of detection, localization and tracking of an underwater remotely operated vehicle (ROV) in underwater environment. Previous related work focused on using either only 2D images or only 3D point clouds for detecting and tracking underwater objects, resulted in lacking of either 3D position information or low robustness to challenging underwater environment such as strong oc... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ROBIO54168.2021.9739538 | 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) |
Keywords | DocType | ISBN |
Training,Point cloud compression,Autonomous underwater vehicles,Three-dimensional displays,Target tracking,Pipelines,Detectors | Conference | 978-1-6654-0535-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lu Chen | 1 | 0 | 0.34 |
| Zhengjia Zhu | 2 | 0 | 0.34 |
| Caiming Sun | 3 | 0 | 0.34 |
| Aidong Zhang | 4 | 2970 | 405.63 |