Visual-Inertial-Aided Online MAV System Identification-Reference-Cited by-同舟云学术

Visual-Inertial-Aided Online MAV System Identification

Published:2022-10-23 Issue: Volume: Page:
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Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Chen Chuchu¹,Yang Yulin¹,Geneva Patrick¹,Lee Woosik¹,Huang Guoquan¹

Affiliation:

1. Robot Perception and Navigation Group (RPNG), University of Delaware,Newark,DE,USA,19716

Funder

ARL

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982263.pdf?arnumber=9982263

Reference39 articles.

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

2. Rotors-a modular gazebo mav simulator framework;furrer;Robot Operating System (ROS),2016

3. VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation

4. FEJ2: A Consistent Visual-Inertial State Estimator Design

5. Decentralized control and teleoperation of a multiuav parallel robot based on intrinsic measurements;liu;2021 IEEE/RSJ International Conference On Intelligent Robots and Systems,2021

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