Implementation and analysis of Ryze Tello drone vision-based positioning using AprilTags
Robotics
2023-05-11 v1 Image and Video Processing
Abstract
The paper describes of the Ryze Tello drone to move autonomously using a basic vision system. The drone's position is determined by identifying AprilTags' position relative to the drone's built-in camera. The accuracy of the drone's position readings and distance calculations was tested under controlled conditions, and errors were analysed. The study showed a decrease in absolute error with decreasing drone distance from the marker, a little change in the relative error for large distances, and a sharp decrease in the relative error for small distances. The method is satisfactory for determining the drone's position relative to a marker.
Cite
@article{arxiv.2305.05673,
title = {Implementation and analysis of Ryze Tello drone vision-based positioning using AprilTags},
author = {Kacper Hulek and Mariusz Pawlicki and Adrian Ostrowski and Jakub Możaryn},
journal= {arXiv preprint arXiv:2305.05673},
year = {2023}
}
Comments
Submitted to MMAR 2023 - 27th International Conference on Methods and Models in Automation and Robotics