Improving racing drones flight analysis: a data-driven approach using motion capture systems

Date published

2024-12-09

Free to read from

2025-01-08

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Journal ISSN

Volume Title

Publisher

MDPI

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Type

Article

ISSN

2504-446X

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Citation

Castiblanco Quintero JM, Garcia-Nieto S, Simarro R, Ignatyev DI. (2024) Improving racing drones flight analysis: a data-driven approach using motion capture systems. Drones, Volume 8, Issue 12, December 2024, Article number 742

Abstract

The publication of the previous study, titled “Experimental Study on the Dynamic Behaviour of Drones Designed for Racing Competitions”, highlighted the increasing interest in employing scientific methods for their design and analysis. That study examined the flight data of 15 racing drones within a large flight area, using Doppler-type sensors for data collection. Building on these findings and seeking to enhance them, the current work introduces an upgraded data acquisition system utilising optical sensors, thereby improving measurement accuracy. These enhanced flight data facilitate the development of updated quality indices and conclusions, offering a more precise and definitive analysis than was previously possible.

Description

Software Description

Software Language

Github

Keywords

4605 Data Management and Data Science, 46 Information and Computing Sciences, 40 Engineering, 40 Engineering, 46 Information and computing sciences, drone, airframe, high performance, structure design, data analysis, agile, flight dynamics

DOI

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Attribution 4.0 International

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Funder/s

This work has been supported by the Spain government via MCIN/AEI/ 10.13039/501100011033 [Project PID2020-119468RA-I00].