Abstract
3D reconstructing a landscape is a prevalent problem that attracts a lot of interest in recent years. This project intended to verify whether the hypothesis of a UAV-based SLAM and 3D reconstruction system is practical. A GPS-Fused SLAM system is built based on ORB-SLAM. Inverse depth is also implemented to make the system suitable for a UAV-based platform. Meanwhile, REMODE is a depth filter and is tested as not being well enough as a dense mapping module. In the end, PMVS is implemented to build a dense map of the environment which produces a reasonable result. The small-scale-scene experiments produce the total error ratio of 5.60% in the x-y plane and 6.59% in the z axis.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics |
| Publisher | IEEE |
| Pages | 2496-2501 |
| ISBN (Print) | 9781538637418 |
| DOIs | |
| Publication status | Published - Dec 2017 |
| Event | 2017 IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO 2017) - The Parisian Macao, Macao, China Duration: 5 Dec 2017 → 8 Dec 2017 http://2017.ieee-robio.org/ |
Publication series
| Name | IEEE International Conference on Robotics and Biomimetics, ROBIO |
|---|
Conference
| Conference | 2017 IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO 2017) |
|---|---|
| Place | Macao, China |
| Period | 5/12/17 → 8/12/17 |
| Internet address |
Research Keywords
- GPS
- PMVS
- SLAM
- UAV
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