Non-line-of-sight imaging of moving objects obscured by a random corridor

Non-line-of-sight imaging of moving objects obscured by a random corridor | 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 Non-line-of-sight imaging of moving objects obscured by a random corridor Tian Shi, Li Liangsheng, He Cai, Xianli Zhu, Qingfan Shi, Ning Zheng This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-798484/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Jul, 2022 Read the published version in Nature Communications → Version 1 posted You are reading this latest preprint version Abstract Non-line-of-sight (NLOS) imaging makes it possible to reconstruct hidden objects around corners, which is of fundamental importance in various fields. Despite recent advances, NLOS imaging has not been studied in certain typical random scenarios, such as tortuous corridors filled with random media. We dub such a category of complex environment “random corridor”, and propose a reduced spatial- and ensemble-speckle intensity correlation (RSESIC) method to image a moving object obscured by a random corridor. Experimental results show that the method can reconstruct image of a centimeter-sized hidden object with a sub-millimeter resolution by a low-cost digital camera. The imaging capability depends on three system parameters and can be characterized by the correlation fidelity (CF). Furthermore, the RSESIC method is able to recover the image of objects even for a single pixel containing the contribution of about $10^2$ speckle grains, which overcomes the theoretical limitation of traditional speckle imaging methods. Last but not least, when the power attenuation of speckle intensity leads to the serious deterioration of CF, the image of hidden objects can still be reconstructed by the corrected intensity correlation. Photonics/optics Optics/Lasers NLOS imaging random corridor RSESIC correlation fidelity Full Text Additional Declarations There is NO Competing Interest. Supplementary Files 3SupplementaryInformation.pdf Supplementary information document Cite Share Download PDF Status: Published Journal Publication published 14 Jul, 2022 Read the published version in Nature Communications → 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. 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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-798484","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":46393508,"identity":"7fd885f9-8635-4455-b96f-ffc797189f83","order_by":0,"name":"Tian Shi","email":"","orcid":"https://orcid.org/0000-0002-4634-5472","institution":"Beijing Institute of Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Tian","middleName":"","lastName":"Shi","suffix":""},{"id":46393509,"identity":"431d9dab-6764-4390-921b-404aeed03fbc","order_by":1,"name":"Li 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