A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization

Author:

He Yijia1,Xu Bo2,Ouyang Zhanpeng3,Li Hongdong4

Affiliation:

1. Chinese Academy of Sciences

2. Wuhan University

3. ShanghaiTech University

4. Australian National University

Publisher

IEEE

Reference40 articles.

1. SVO: Fast semi-direct monocular visual odometry

2. Least-squares estimation of transformation parameters between two point patterns

3. On-manifold preintegration for real-time visual-inertial odometry;forster;IEEE Transactions on Robotics,2016

4. Good features to track;shi;1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,0

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1. Stereo-NEC: Enhancing Stereo Visual-Inertial SLAM Initialization with Normal Epipolar Constraints;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. MAVIS: Multi-Camera Augmented Visual-Inertial SLAM using SE2(3) Based Exact IMU Pre-integration;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. 100-Phones: A Large VI-SLAM Dataset for Augmented Reality Towards Mass Deployment on Mobile Phones;IEEE Transactions on Visualization and Computer Graphics;2024-05

4. A Real-Time Visual-Inertial SLAM with Neural Radiance Fields Mapping;Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering;2024-01-26

5. A New Visual Front-end Combining KLT with Descriptor Matching for Visual-inertial Odometry;Journal of Intelligent & Robotic Systems;2023-11-23

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