Implementation and analysis of Ryze Tello drone vision-based positioning using AprilTags

Autor:	Hulek, Kacper, Pawlicki, Mariusz, Ostrowski, Adrian, Możaryn, Jakub
Rok vydání:	2023
Předmět:	Computer Science - Robotics Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: Submitted to MMAR 2023 - 27th International Conference on Methods and Models in Automation and Robotics
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2305.05673 Zobrazit plný text záznamu View this record from Arxiv