eCAR: edge-assisted Collaborative Augmented Reality Framework

eCAR: edge-assisted Collaborative Augmented Reality Framework | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article eCAR: edge-assisted Collaborative Augmented Reality Framework Jinwoo Jeon, Woontack Woo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4756781/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In collaborative augmented reality (CAR), data communication that synchronizes virtual objects results in large network traffic and high network latency. CAR applications without continuous data communication for coordinate system alignment exhibit virtual object inconsistencies. However, as the number of collaborative devices increases, In addition, synchronization messages for online virtual object updates experience high latency. To solve this problem, we propose a novel edge-assisted multiuser CAR framework, eCAR, for a large indoor environment. The framework utilizes edge computing to match the coordinate system of a device with less network traffic continuously. Further, we extend the co-visibility graph of the edge server for maintaining the spatial–temporal consistency of virtual objects in neighboring devices by synchronizing a local graph. We evaluated the proposed system quantitatively and qualitatively using a public dataset and physical indoor environment. The eCAR communicates data for coordinate system alignment between the edge server and devices with less network traffic and latency. The proposed system continuously aligns coordinate systems with multiple devices in a large indoor environment and shares augmented reality content. Our system enables users to interact with virtual objects and share augmented reality experiences with neighboring users. Collaborative Augmented Reality Multi-user AR Sharing Contents Edge computing-based SLAM Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4756781","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":332162812,"identity":"8cf3a972-e8b5-4c63-8039-640863522d12","order_by":0,"name":"Jinwoo Jeon","email":"","orcid":"","institution":"Korea Advanced Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Jinwoo","middleName":"","lastName":"Jeon","suffix":""},{"id":332162815,"identity":"ae5dd779-0337-4f23-8dee-0d173547ec21","order_by":1,"name":"Woontack Woo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAuUlEQVRIiWNgGAWjYLCCDwcYeKDMBOJ0MM4AaWEjRQszzwEgSbQWgxvJBx/bnLGTkZ/fwPjhB0NaPhFa0pKNc24k8xgcY2CW7GHIsWwgpMXsdo6ZdM4HZh4DoMOkGRgqDAjaAtZi8aGeR76Ngfk38VoYbhzmYTjGwAa0JYewFvv7z5INe84cB/olsc2yxyCNsBbJnsMHH/w4Vm0v33z48I0fFcmEtSABxgZgAJKiYRSMglEwCkYBTgAAVgY2WoKtSQQAAAAASUVORK5CYII=","orcid":"","institution":"Korea Advanced Institute of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Woontack","middleName":"","lastName":"Woo","suffix":""}],"badges":[],"createdAt":"2024-07-17 14:03:52","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4756781/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4756781/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":94593491,"identity":"af54dc9b-870d-44e9-a410-ef986c6b75d6","added_by":"auto","created_at":"2025-10-28 18:25:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":923717,"visible":true,"origin":"","legend":"","description":"","filename":"SpringereCARedgeassistedCollaborativeAugmentedRealityFramework2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4756781/v1_covered_2edcc783-f66d-4157-b614-7fbd93d16048.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"eCAR: edge-assisted Collaborative Augmented Reality Framework","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Collaborative Augmented Reality, Multi-user AR, Sharing Contents, Edge computing-based SLAM","lastPublishedDoi":"10.21203/rs.3.rs-4756781/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4756781/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"In collaborative augmented reality (CAR), data communication that synchronizes virtual objects results in large network traffic and high network latency. 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