MAVIS: Multi-Camera Augmented Visual-Inertial SLAM using SE<sub>2</sub>(3) Based Exact IMU Pre-integration-Reference-Cited by-同舟云学术

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MAVIS: Multi-Camera Augmented Visual-Inertial SLAM using SE₂(3) Based Exact IMU Pre-integration

Published:2024-05-13 Issue: Volume: Page:1694-1700
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Wang Yifu,Ng Yonhon,Sa Inkyu,Parra Álvaro,Rodriguez-Opazo Cristian,Lin Taojun,Li Hongdong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10609982.pdf?arnumber=10609982

Reference43 articles.

1. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

2. Keyframe-based visual–inertial odometry using nonlinear optimization

3. A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots

4. EqVIO: An Equivariant Filter for Visual-Inertial Odometry

5. A general optimization-based framework for local odometry estimation with multiple sensors;Qin,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Increasing SLAM Pose Accuracy by Ground-to-Satellite Image Registration;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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