{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T19:26:45Z","timestamp":1792783605670,"version":"4.5.0"},"reference-count":12,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T00:00:00Z","timestamp":1783382400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:00:00Z","timestamp":1790726400000},"content-version":"vor","delay-in-days":85,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"This work was supported by the Science and Technology Project of State Grid Jiangsu electric Power Co., Ltd.","award":["Grant No. J2023084"],"award-info":[{"award-number":["Grant No. J2023084"]}],"id":[{"id":"https:\/\/ror.org\/056wxrm96","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Discov Artif Intell"],"DOI":"10.1007\/s44163-026-01691-5","type":"journal-article","created":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T12:08:28Z","timestamp":1783426108000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Foreign object detection of cable pipeline based on stereo vision"],"prefix":"10.1007","volume":"6","author":[{"given":"Ye","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qianxiang","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingming","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunpeng","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Bai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,7]]},"reference":[{"key":"1691_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1049\/cp.2017.0547","volume":"2017","author":"L Taobo","year":"2017","unstructured":"Taobo L, Yi Z, Bo Y, Peng C. Research on power cable tunnel and urban utility tunnel. EPTC Power Transmission and Transformation Technology Conference. 2017;2017:1\u20137. https:\/\/doi.org\/10.1049\/cp.2017.0547.","journal-title":"EPTC Power Transmission and Transformation Technology Conference"},{"key":"1691_CR2","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1109\/WPTC48563.2020.9295641","volume":"2020","author":"M Ote","year":"2020","unstructured":"Ote M, Jeong S, Tentzeris MM. Foreign Object Detection for Wireless Power Transfer Based on Machine Learning. IEEE Wireless Power Transfer Conference (WPTC). 2020;2020:476\u20139. https:\/\/doi.org\/10.1109\/WPTC48563.2020.9295641.","journal-title":"IEEE Wireless Power Transfer Conference (WPTC)"},{"key":"1691_CR3","doi-asserted-by":"publisher","unstructured":"G. Cheung, Yuan Tian and T. Neier, \"Technics of locating underground cable faults inside conduits,\" In: International Conference on Condition Monitoring and Diagnosis (CMD), Xi'an, China, 2016; 619\u2013622, https:\/\/doi.org\/10.1109\/CMD.2016.7757954.","DOI":"10.1109\/CMD.2016.7757954"},{"key":"1691_CR4","doi-asserted-by":"publisher","unstructured":"Y. B. Juganaikloo and M. Gooroochum, \"An image-guided mobile robotic system for underground pipe navigation and condition monitoring,\" In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Mauritius, Mauritius, 2021;1\u20136, https:\/\/doi.org\/10.1109\/ICECCME52200.2021.9590854.","DOI":"10.1109\/ICECCME52200.2021.9590854"},{"key":"1691_CR5","doi-asserted-by":"publisher","unstructured":"K. B. Lee and H. S. Shin, \"An Application of a Deep Learning Algorithm for Automatic Detection of Unexpected Accidents Under Bad CCTV Monitoring Conditions in Tunnels,\" In: International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML), Istanbul, Turkey, 2019;7\u201311, https:\/\/doi.org\/10.1109\/Deep-ML.2019.00010.","DOI":"10.1109\/Deep-ML.2019.00010"},{"key":"1691_CR6","doi-asserted-by":"publisher","unstructured":"L. Lu, C. Wang and X. Yin, \"Incorporating Texture into SLIC Super-pixels Method for High Spatial Resolution Remote Sensing Image Segmentation,\" In: 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), Istanbul, Turkey, 2019;1\u20135, https:\/\/doi.org\/10.1109\/Agro-Geoinformatics.2019.8820692.","DOI":"10.1109\/Agro-Geoinformatics.2019.8820692"},{"issue":"12","key":"1691_CR7","doi-asserted-by":"publisher","first-page":"5706","DOI":"10.1109\/TIP.2015.2487833","volume":"24","author":"A Borji","year":"2015","unstructured":"Borji A, Cheng M, Jiang H, Li J. Salient Object Detection: A Benchmark. IEEE Trans Image Process. 2015;24(12):5706\u201322. https:\/\/doi.org\/10.1109\/TIP.2015.2487833.","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"1691_CR8","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1109\/TNNLS.2020.2996406","volume":"32","author":"D-P Fan","year":"2021","unstructured":"Fan D-P, Lin Z, Zhang Z, Zhu M, Cheng M-M. Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks. IEEE Transactions on Neural Networks and Learning Systems. 2021;32(5):2075\u201389. https:\/\/doi.org\/10.1109\/TNNLS.2020.2996406.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"1691_CR9","doi-asserted-by":"publisher","unstructured":"V. Khryashchev, A. Lebedev, A. Priorov, N. Kotov and D. Zavyalov, \"Deep learning architecture for real-time polyps detection on endoscopic video,\" Systems of signal synchronization, generating and processing in telecommunications (SYNCHROINFO, Pskov, Russian Federation, 2023;1\u20134, https:\/\/doi.org\/10.1109\/SYNCHROINFO57872.2023.10178680.","DOI":"10.1109\/SYNCHROINFO57872.2023.10178680"},{"issue":"11","key":"1691_CR10","doi-asserted-by":"publisher","first-page":"2189","DOI":"10.1109\/TPAMI.2012.28","volume":"34","author":"B Alexe","year":"2012","unstructured":"Alexe B, Deselaers T, Ferrari V. Measuring the Objectness of Image Windows. IEEE Trans Pattern Anal Mach Intell. 2012;34(11):2189\u2013202. https:\/\/doi.org\/10.1109\/TPAMI.2012.28.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1691_CR11","doi-asserted-by":"crossref","unstructured":"Duc Minh N,Robert C,Nikos D. Geometric matrix completion with deep conditional random field. IEEE Trans. Neural Netw. Learn. Syst.,2020;31(9):3579\u20133593.","DOI":"10.1109\/TNNLS.2019.2945111"},{"key":"1691_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/IST.2017.8261469","volume":"2017","author":"R Wang","year":"2017","unstructured":"Wang R, Feng S. Automatic measurement based on stereo vision system using a single PTZ camera. IEEE International Conference on Imaging Systems and Techniques (IST). 2017;2017:1\u20136. https:\/\/doi.org\/10.1109\/IST.2017.8261469.","journal-title":"IEEE International Conference on Imaging Systems and Techniques (IST)"}],"container-title":["Discover Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44163-026-01691-5","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-026-01691-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-026-01691-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T01:37:40Z","timestamp":1790732260000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44163-026-01691-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,7]]},"references-count":12,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["1691"],"URL":"https:\/\/doi.org\/10.1007\/s44163-026-01691-5","relation":{},"ISSN":["2731-0809"],"issn-type":[{"value":"2731-0809","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,7]]},"assertion":[{"value":"19 November 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not Applicable.","order":2,"name":"Ethics","label":"Ethical approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not Applicable.","order":3,"name":"Ethics","label":"Consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not Applicable.","order":4,"name":"Ethics","label":"Consent to publish","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"1304"}}