UWB Ranging and IMU Data Fusion: Overview and Nonlinear Stochastic Filter for Inertial Navigation-Reference-Cited by-同舟云学术

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UWB Ranging and IMU Data Fusion: Overview and Nonlinear Stochastic Filter for Inertial Navigation

Published:2024-01 Issue:1 Volume:25 Page:359-369
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Hashim Hashim A.¹^ORCID,Eltoukhy Abdelrahman E. E.²^ORCID,Vamvoudakis Kyriakos G.³^ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, Canada

2. Department of Management Science and Engineering, Khalifa University, Abu Dhabi, United Arab Emirates

3. Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

National Sciences and Engineering Research Council of Canada

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

https://ieeexplore.ieee.org/ielam/6979/10403543/10239248-aam.pdf

Reference35 articles.

1. Robust Multispectral Visual-Inertial Navigation With Visual Odometry Failure Recovery

2. Geometric stochastic filter with guaranteed performance for autonomous navigation based on IMU and feature sensor fusion

3. A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles

4. Formation control of nonholonomic unmanned ground vehicles via unscented Kalman filter-based sensor fusion approach

5. UAV Sensor FDI in Duplex Attitude Estimation Architectures Using a Set-Based Approach

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3. Adaptive Backstepping and Non-Singular Sliding Mode Control for Quadrotor UAVs with Unknown Time-Varying Uncertainties;2024 American Control Conference (ACC);2024-07-10

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