VI-HSO: Hybrid Sparse Monocular Visual-Inertial Odometry-Reference-Cited by-同舟云学术

VI-HSO: Hybrid Sparse Monocular Visual-Inertial Odometry

Published:2023-10 Issue:10 Volume:8 Page:6283-6290
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Yang Wenzhe¹^ORCID,Zhuang Yan¹^ORCID,Luo Dongting¹^ORCID,Wang Wei¹^ORCID,Zhang Hong²^ORCID

Affiliation:

1. School of Control Science and Engineering, Dalian University of Technology, Dalian, China

2. Shenzhen Key Laboratory of Robotics and Computer Vision, the Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Key Laboratory of Robotics and Computer Vision

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10220574/10218742.pdf?arnumber=10218742

Reference25 articles.

1. Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback

2. Robust visual inertial odometry using a direct EKF-based approach

3. Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization

4. Survey and evaluation of monocular visual-inertial SLAM algorithms for augmented reality

5. A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation

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