{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T05:11:10Z","timestamp":1784265070021,"version":"3.55.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T00:00:00Z","timestamp":1690416000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T00:00:00Z","timestamp":1690416000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,27]]},"DOI":"10.1109\/icsse58758.2023.10227178","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T17:35:01Z","timestamp":1693330501000},"page":"1-5","source":"Crossref","is-referenced-by-count":5,"title":["Drone-Based Inspection of the Appearance Defects for a Large Object"],"prefix":"10.1109","author":[{"given":"Wen-June","family":"Wang","sequence":"first","affiliation":[{"name":"National Central University,Department of Electrical Engineering,Taoyuan city,Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang-Yin","family":"Dai","sequence":"additional","affiliation":[{"name":"National Central University,Department of Electrical Engineering,Taoyuan city,Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chun-Yuan","family":"Cheng","sequence":"additional","affiliation":[{"name":"National Central University,Department of Electrical Engineering,Taoyuan city,Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shang-Ming","family":"Ciou","sequence":"additional","affiliation":[{"name":"National Central University,Department of Electrical Engineering,Taoyuan city,Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","year":"0"},{"key":"ref12","year":"0"},{"key":"ref15","year":"0"},{"key":"ref14","year":"0"},{"key":"ref20","year":"0"},{"key":"ref11","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020","journal-title":"arXiv preprint arXiv 2004 10934"},{"key":"ref22","first-page":"346","volume":"110","author":"bay","year":"2008","journal-title":"Speeded-Up Robust Features (SURF)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICMCCE51767.2020.00146"},{"key":"ref21","author":"adorjan","year":"2016","journal-title":"OpenSfM A collaborative structure-from-motion system"},{"key":"ref2","first-page":"34","article-title":"Civil aircraft surface defects detection based on histogram of oriented gradient","author":"guo","year":"2019","journal-title":"IEEE 1st International Conference on Civil Aviation safety and information technology (ICCASIT)"},{"key":"ref1","author":"dai","year":"2022","journal-title":"Automatic appearance inspection of a large objects by the drone"},{"key":"ref17","article-title":"Random sample consensus (ransac)","author":"cantzler","year":"1981","journal-title":"Institute for Perception Action and Behaviour"},{"key":"ref16","year":"0"},{"key":"ref19","year":"2022","journal-title":"Voxel downsampling-Open3d"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2015.0202"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref7","article-title":"Using convolutional neural networks to automate aircraft maintenance visual inspection","volume":"7","author":"dogru","year":"2020","journal-title":"Multidisciplinary Digital Publishing Institute (MDPI) Aerospace"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref4","first-page":"781785","article-title":"Investigation of aircraft surface defects detection based on yolo neural network","author":"zhang","year":"2020","journal-title":"The 7th International Conference on Information Science and Control Engineering (ICISCE)"},{"key":"ref3","article-title":"Aircraft fuselage defect detection using deep neural networks","author":"malekzadeh","year":"2017","journal-title":"The global"},{"key":"ref6","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"arXiv preprint arXiv 1506 01070"},{"key":"ref5","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv preprint arXiv 1804 02767"}],"event":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","location":"Ho Chi Minh, Vietnam","start":{"date-parts":[[2023,7,27]]},"end":{"date-parts":[[2023,7,28]]}},"container-title":["2023 International Conference on System Science and Engineering (ICSSE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10227140\/10227074\/10227178.pdf?arnumber=10227178","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T17:52:21Z","timestamp":1695664341000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10227178\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,27]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icsse58758.2023.10227178","relation":{},"subject":[],"published":{"date-parts":[[2023,7,27]]}}}