A Visual-Inertial Localization Method for Unmanned Aerial Vehicle in Underground Tunnel Dynamic Environments.
Dongjiang LiWei YangXuesong ShiDan GuoQiwei LongFei QiaoQi WeiPublished in: IEEE Access (2020)
Keyphrases
- dynamic environments
- unmanned aerial vehicles
- localization method
- path planning
- object localization
- autonomous agents
- mobile robot
- visual information
- voting scheme
- feature extraction
- real environment
- feature representation
- localization algorithm
- matching algorithm
- visual features
- real time
- spatial relations
- intelligent systems