Vision-Based-Path-Following-Algorithm

This repository contains the work carried out for the IFAC2020 MATLAB Minidrone competition.

https://github.com/mar4945/Vision-Based-Pure-Pursuing-Algorithm

版本 1.0 (2.6 MB)
412.0 次下载
(0)
2021/5/2

您现在正在关注此提交

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.

引用格式

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.

一般信息

MATLAB 版本兼容性

  • 与 R2019b 及更高版本兼容

平台兼容性

  • Windows
  • macOS
  • Linux
在新标签页中打开
版本 已发布 发行说明
1.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 存储库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 存储库。