Unscented Kalman Filter on Lie Groups for Visual Inertial Odometry-Reference-Cited by-同舟云学术

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Unscented Kalman Filter on Lie Groups for Visual Inertial Odometry

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Brossard Martin,Bonnabel Silvere,Barrau Axel

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8574473/8593358/08593627.pdf?arnumber=8593627

Cited by 32 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. Mass property estimation on TSE(3) via unscented Kalman filter using RCS thrusters;Acta Astronautica;2024-10

2. W-VSLAM: A Visual Mapping Algorithm for Indoor Inspection Robots;Sensors;2024-08-30

3. Consistent Fusion of Correlated Pose Estimates on Matrix Lie Groups;IEEE Robotics and Automation Letters;2024-07

4. Visual-Inertial Odometry for Metric-Scale Mapping of Underwater Caves;2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC);2024-05-02

5. A New Paradigm for Dealing With Manifold Structures in Visual Inertial Odometry by Using Stable Embedding;IEEE Transactions on Control Systems Technology;2024-05

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