Vision-Based-Path-Following-Algorithm
Versione 1.0 (2,58 MB) da
Giuseppe Silano
This repository contains the work carried out for the IFAC2020 MATLAB Minidrone competition.
A novel prize-winner algorithm designed for a path following problem within the Unmanned Aerial Vehicle(UAV) field is presented in this paper. The proposed approach exploits the advantages offered by the pure pursuing algorithm to set up an intuitive and simple control framework. A path for quad-rotor UAV is obtained by using downward-facing camera images implementing an Image-Based Visual Servoing (IBVS)approach. Numerical simulations in MATLAB together with the MathWorks™ Virtual Reality (VR) toolbox demonstrate the validity and the effectiveness of the proposed solution. The code is released as open-source making it possible to go through any part of the system and to replicate the obtained results.
Cita come
M. Terlizzi, G. Silano, L. Russo, M. Aatif, A. Basiri, V. Mariani, L. Iannelli, and L. Glielmo. "A Vision-Based Algorithm for a Path Following Problem," 2021 International Conference on Unmanned Aircraft Systems (ICUAS), June 2021, pp. 1630-1635, doi: 10.1109/ICUAS51884.2021.9476777.
Compatibilità della release di MATLAB
Creato con
R2019b
Compatibile con R2019b e release successive
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UniSannio_Team
UniSannio_Team/linearAirframe
UniSannio_Team/tasks
UniSannio_Team/tests
UniSannio_Team/utilities
UniSannio_Team/controller
UniSannio_Team/libraries
UniSannio_Team/linearAirframe
UniSannio_Team/mainModels
UniSannio_Team/nonlinearAirframe
| Versione | Pubblicato | Note della release | |
|---|---|---|---|
| 1.0 |
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Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
