RL-VIO: A Robust and Lightweight Visual-inertial Odometry in Dynamic Environments
Author:
Affiliation:
1. College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300350
2. Shenzhen Research Institute, Nankai University,Shenzhen,P. R. China,518081
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10241012.pdf?arnumber=10241012
Reference25 articles.
1. Keyframe-based visual–inertial odometry using nonlinear optimization
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3. A Multi-State Con-straint Kalman Filter for Vision-aided Inertial Navigation;mourikis;Proceedings of the IEEE International Conference on Robotics and Automation,0
4. An iterative image registration technique with an application to stereo vision;lucas;Proceedings of the International Conference on Artificial Intelligence,0
5. Improving monocular visual SLAM in dynamic environments: an optical-flow-based approach
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