RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments
Author:
Affiliation:
1. State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China
2. SenseTime Research, Hangzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/2945/10665904/10398497.pdf?arnumber=10398497
Reference53 articles.
1. Robust Tightly-Coupled Visual-Inertial Odometry with Pre-built Maps in High Latency Situations
2. DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM
3. DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes
4. Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback
5. The EuRoC micro aerial vehicle datasets
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