DPM: Towards Accurate Drone Position Manipulation
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Hawaii, Honolulu, HI, USA
2. Department of Computer Science, Florida State University, Tallahassee, FL, USA
Funder
National Science Foundation
Office of Naval Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
https://ieeexplore.ieee.org/ielam/8858/10016903/9690021-aam.pdf
Reference49 articles.
1. An introduction to inertial navigation;woodman,2007
2. Rocking drones with intentional sound noise on gyroscopic sensors;son;Proc 24th USENIX Secur Symp,2015
3. Unmanned Aerial Vehicle Path Following: A Survey and Analysis of Algorithms for Fixed-Wing Unmanned Aerial Vehicless
4. The unscented Kalman filter for nonlinear estimation
5. Extended Kalman filter navigation overview and tuning,2020
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