Adaptive Sampling-based Particle Filter for Visual-inertial Gimbal in the Wild-Reference-Cited by-同舟云学术

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Adaptive Sampling-based Particle Filter for Visual-inertial Gimbal in the Wild

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Kang Xueyang¹,Herrera Ariel²,Lema Henry²,Valencia Esteban²,Vandewalle Patrick¹

Affiliation:

1. (ESAT), KU Leuven,PSI Department of Electrical Engineering,Belgium

2. Escuela Politecnica Nacional (EPN),Department of Mechanical Engineering,Ecuador

Funder

VLIR-UOS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160395.pdf?arnumber=10160395

Reference40 articles.

1. Robocentric visual-inertial odom-etry;huai;2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),0

2. A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor

3. Vins-mono: A robust and versatile monocular visual-inertial state estimator;qin;IEEE Transactions on Robotics,2018

4. Video Stabilization of the NAO Robot Using IMU Data

5. Extending kalibr: Calibrating the extrinsics of multiple IMUs and of individual axes

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. Camera Motion Correction with PGA;Advances in Computer Graphics;2023-12-24

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