A dataset for autonomous aircraft refueling on the ground (AGR)

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dc.contributor.authorKuang, Boyu
dc.contributor.authorBarnes, Stuart
dc.contributor.authorTang, Gilbert
dc.contributor.authorJenkins, Karl W.
dc.date.accessioned2023-10-09T08:57:48Z
dc.date.available2023-10-09T08:57:48Z
dc.date.issued2023-09-01
dc.description.abstractAutomatic aircraft ground refueling (AAGR) can improve the safety, efficiency, and cost-effectiveness of aircraft ground refueling (AGR), a critical and frequent operation on almost all aircraft. Recent AAGR relies on machine vision, artificial intelligence, and robotics to implement automation. An essential step for automation is AGR scene recognition, which can support further component detection, tracking, process monitoring, and environmental awareness. As in many practical and commercial applications, aircraft refueling data is usually confidential, and no standardized workflow or definition is available. These are the prerequisites and critical challenges to deploying and benefitting advanced data-driven AGR. This study presents a dataset (the AGR Dataset) for AGR scene recognition using image crawling, augmentation, and classification, which has been made available to the community. The AGR dataset crawled over 3k images from 13 databases (over 26k images after augmentation), and different aircraft, illumination, and environmental conditions were included. The ground-truth labeling is conducted manually using a proposed tree-formed decision workflow and six specific AGR tags. Various professionals have independently reviewed the AGR dataset to keep it no-bias. This study proposes the first aircraft refueling image dataset, and an image labeling software with a UI to automate the labeling workflow.en_UK
dc.identifier.citationKuang B, Barnes S, Tang G, Jenkins K. (2023) A dataset for autonomous aircraft refueling on the ground (AGR). In: 28th IEEE International Conference on Automation and Computing (ICAC2023), Birmingham, 30 August - 1 September 2023, Birmingham, UKen_UK
dc.identifier.eisbn979-8-3503-3585-9
dc.identifier.isbn979-8-3503-3586-6
dc.identifier.urihttps://doi.org/10.1109/ICAC57885.2023.10275212
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20344
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectimage crawlingen_UK
dc.subjectimage augmentationen_UK
dc.subjectbenchmarken_UK
dc.subjectclassificationen_UK
dc.subjectscene detectionen_UK
dc.titleA dataset for autonomous aircraft refueling on the ground (AGR)en_UK
dc.typeConference paperen_UK

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