Vision-Based-Path-Following-Algorithm

Version 1.0 (2.58 MB) by Giuseppe Silano
This repository contains the work carried out for the IFAC2020 MATLAB Minidrone competition.
0.0
(0)
358 Downloads
Updated 2 May 2021
View License on GitHub
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.

Cite As

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.

MATLAB Release Compatibility
Created with R2019b
Compatible with R2019b and later releases
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

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 Published Release Notes
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.