DIO: A Robust and Real-Time Depth-Inertial Odometry Leveraging Multimodal Constraints for Challenging Environments.
Jie XuRuifeng LiSong HuangXiongwei ZhaoShuxin QiuZhijun ChenLijun ZhaoPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- real time
- inertial sensors
- text localization and recognition
- control system
- high speed
- multi modal
- computationally efficient
- visual odometry
- constrained optimization
- constraint satisfaction
- dynamic environments
- low cost
- mobile robot
- real world
- constraint programming
- depth information
- vision system
- cluttered environments
- multimodal interaction