Visual-Inertial-Aided Online MAV System Identification

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

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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1. Multi-visual-inertial system: Analysis, calibration, and estimation;The International Journal of Robotics Research;2024-08-26

2. Fast and robust learned single-view depth-aided monocular visual-inertial initialization;The International Journal of Robotics Research;2024-07-25

3. Ultrafast Square-Root Filter-based VINS;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Quantized Visual-Inertial Odometry;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Fast and Consistent Covariance Recovery for Sliding-window Optimization-based VINS;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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