Vision-Based-Path-Following-Algorithm

Version 1.0 (2,58 MB) von Giuseppe Silano
This repository contains the work carried out for the IFAC2020 MATLAB Minidrone competition.
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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.

Zitieren als

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.

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit R2019b und späteren Versionen
Plattform-Kompatibilität
Windows macOS Linux
Tags Tags hinzufügen

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

Version Veröffentlicht Versionshinweise
1.0

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