RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments.
Jinyu LiXiaokun PanGan HuangZiyang ZhangNan WangHujun BaoGuofeng ZhangPublished in: CoRR (2023)
Keyphrases
- dynamic environments
- mobile augmented reality
- inertial sensors
- mobile robot
- autonomous agents
- path planning
- simultaneous localization and mapping
- collision avoidance
- augmented reality
- changing environment
- sensor fusion
- databases
- lightweight
- data driven
- potential field
- reinforcement learning agents
- highly dynamic environments
- social media