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

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dc.contributor.authorCastiblanco Quintero, Jose M
dc.contributor.authorGarcia-Nieto, Sergio
dc.contributor.authorSimarro, Raul
dc.contributor.authorIgnatyev, Dmitry I
dc.date.accessioned2025-01-08T16:28:41Z
dc.date.available2025-01-08T16:28:41Z
dc.date.freetoread2025-01-08
dc.date.issued2024-12-09
dc.date.pubOnline2024-12-09
dc.description.abstractThe 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.
dc.description.journalNameDrones
dc.description.sponsorshipThis work has been supported by the Spain government via MCIN/AEI/ 10.13039/501100011033 [Project PID2020-119468RA-I00].
dc.identifier.citationCastiblanco 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
dc.identifier.eissn2504-446X
dc.identifier.elementsID560123
dc.identifier.issn2504-446X
dc.identifier.issueNo12
dc.identifier.urihttps://doi.org/10.3390/drones8120742
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23345
dc.identifier.volumeNo8
dc.languageEnglish
dc.language.isoen
dc.publisherMDPI
dc.publisher.urihttps://www.mdpi.com/2504-446X/8/12/742
dc.relation.isreferencedbyhttps://dspace.lib.cranfield.ac.uk/handle/1826/18343
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject4605 Data Management and Data Science
dc.subject46 Information and Computing Sciences
dc.subject40 Engineering
dc.subject40 Engineering
dc.subject46 Information and computing sciences
dc.subjectdrone
dc.subjectairframe
dc.subjecthigh performance
dc.subjectstructure design
dc.subjectdata analysis
dc.subjectagile
dc.subjectflight dynamics
dc.titleImproving racing drones flight analysis: a data-driven approach using motion capture systems
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2024-12-01

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