{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T22:41:45Z","timestamp":1769294505076,"version":"3.49.0"},"reference-count":11,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Internet Technology Letters"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>This paper presents a novel approach for defect detection in infrastructure using unmanned aerial vehicles (UAVs) integrated with Building Information Modeling (BIM) and edge computing. The proposed system leverages BIM's rich geometric and semantic data to guide UAV flight paths and defect localization, while edge computing is employed to perform real\u2010time defect detection onboard the UAV. The methodology includes four key components: BIM\u2010driven UAV flight planning, lightweight onboard defect detection via edge\u2010enabled deep learning models, coordinate transformation for BIM alignment, and the instantiation of detected defects into the BIM model for lifecycle management. Experimental results demonstrate that the proposed BIM\u2010UAV\u2010Edge framework outperforms traditional image processing and deep learning\u2010based approaches in terms of accuracy, latency, and system efficiency. With an F1\u2010score of 0.92 compared to 0.87, a processing latency of 110\u2009ms versus 300\u2009ms, and network bandwidth efficiency of 4 Mbps against 30 Mbps, this integrated solution significantly reduces data transmission and improves real\u2010time feedback, offering a robust framework for large\u2010scale infrastructure monitoring and predictive maintenance.<\/jats:p>","DOI":"10.1002\/itl2.70180","type":"journal-article","created":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T13:24:53Z","timestamp":1763472293000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>BIM<\/scp>\n                    \u2010Integrated\n                    <scp>UAV<\/scp>\n                    \u2010Based Defect Detection With Edge Computing for Infrastructure Inspection"],"prefix":"10.1002","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-1595-8113","authenticated-orcid":false,"given":"Chunlei","family":"Han","sequence":"first","affiliation":[{"name":"Changchun University of Architecture and Civil Engineering  Jilin China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,11,18]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3477494"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3434969"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104284"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2023.104019"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2024.105318"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/app11083725"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1176\/5\/052074"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2017.01.020"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3135451"}],"container-title":["Internet Technology Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/itl2.70180","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/itl2.70180","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/itl2.70180","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T03:38:38Z","timestamp":1769139518000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/itl2.70180"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,18]]},"references-count":11,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["10.1002\/itl2.70180"],"URL":"https:\/\/doi.org\/10.1002\/itl2.70180","archive":["Portico"],"relation":{},"ISSN":["2476-1508","2476-1508"],"issn-type":[{"value":"2476-1508","type":"print"},{"value":"2476-1508","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,18]]},"assertion":[{"value":"2025-07-12","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-10-26","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70180"}}