Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters-Reference-Cited by-同舟云学术

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Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters

Published:2020-05 Issue: Volume: Page:
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Container-title:ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Yang Liu,Wang Hechuan,El-Laham Yousef,Fonte Jose Ignacio Lamas,Perez David Trillo,Bugallo Monica F.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9040208/9052899/09054203.pdf?arnumber=9054203

Cited by 5 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. Enhanced Altitude Estimation for Unmanned Aerial Vehicles in a GNSS-denied Environment;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04

2. PASE: An autonomous sequential framework for the state estimation of dynamical systems;Expert Systems with Applications;2023-04

3. Adaptive estimation of UAV altitude in complex indoor environments using degraded and time-delayed measurements with time-varying uncertainties;Robotics and Autonomous Systems;2023-02

4. Indoor UAV Height Estimation with Multiple Model-Detecting Particle Filters;2022 30th European Signal Processing Conference (EUSIPCO);2022-08-29

5. Autonomous Flying into Buildings in a Firefighting Scenario;2021 IEEE International Conference on Robotics and Automation (ICRA);2021-05-30

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