Event-based Lunar OPtical flow Egomotion estimation (ELOPE) Challenge: Dataset, Competition Design and Results

Event-based Lunar OPtical flow Egomotion estimation (ELOPE) Challenge: Dataset, Competition Design and Results | 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 Article Event-based Lunar OPtical flow Egomotion estimation (ELOPE) Challenge: Dataset, Competition Design and Results Pietro Fanti, Leon B. S. Williams, Ondřej Dvořák, Marcus Märtens, and 12 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8259501/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 7 You are reading this latest preprint version Abstract Event-based vision is a promising technology with incredible potential for future space exploration. The Event-based Lunar OPtical flow Egomotion estimation (ELOPE) Challenge aims at evaluating and comparing approaches for lunar landing egomotion estimation using data from a single event-based camera. This work is based on the ELOPE Dataset, which is the first publicly available event-based camera dataset for lunar landing. Over 44 teams participated, with 21 reaching the final leaderboard. After submitting 132 solutions, only the top three teams achieved performance surpassing the frame-based baseline. The main contribution of this paper is the comparison of these top three competitors submissions, and a broader analysis of the main challenges in neuromorphic vision for autonomous lunar landing. Physical sciences/Engineering Physical sciences/Mathematics and computing Autonomous Lunar Landing Event-based Camera Optical Flow Visual Odometry Full Text Additional Declarations Competing interest reported. Author DI serves as Associate Editor of this journal and had no role in the peer-review or decision to publish this manuscript. Author MM serves as Editorial Board Member of this journal and had no role in the peer-review or decision to publish this manuscript. All authors declare no financial or non-financial competing interests. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 03 Jan, 2026 Reviews received at journal 22 Dec, 2025 Reviewers agreed at journal 17 Dec, 2025 Reviewers invited by journal 04 Dec, 2025 Editor assigned by journal 04 Dec, 2025 Submission checks completed at journal 04 Dec, 2025 First submitted to journal 02 Dec, 2025 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8259501","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":555535897,"identity":"6268dc94-27ec-47b2-a212-6f929c42a742","order_by":0,"name":"Pietro Fanti","email":"","orcid":"","institution":"European Space Research and Technology Centre","correspondingAuthor":false,"prefix":"","firstName":"Pietro","middleName":"","lastName":"Fanti","suffix":""},{"id":555535898,"identity":"0e48e907-b0fc-456a-a7d5-a3637f4aa1c9","order_by":1,"name":"Leon B. S. 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