{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:14:06Z","timestamp":1740147246734,"version":"3.37.3"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003141","name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","doi-asserted-by":"publisher","award":["291137","268528"],"award-info":[{"award-number":["291137","268528"]}],"id":[{"id":"10.13039\/501100003141","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Intel Serv Robotics"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1007\/s11370-021-00383-6","type":"journal-article","created":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T18:15:53Z","timestamp":1630692953000},"page":"611-628","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Leveraging single-shot detection and random sample consensus for wind turbine blade inspection"],"prefix":"10.1007","volume":"14","author":[{"given":"Rene","family":"Parlange","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8914-1904","authenticated-orcid":false,"given":"Jose","family":"Martinez-Carranza","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,3]]},"reference":[{"key":"383_CR1","unstructured":"SPARC (2017) Robotics 2020 multi-annual roadmap 5(2):178\u2013228"},{"key":"383_CR2","doi-asserted-by":"publisher","unstructured":"Marzena P, Szymon P, \u0141ukasz K (2017) The use of UAV\u2019s for search and rescue operations. In: Procedia engineering, vol 192, Elsevier Ltd, pp 748\u2013752. https:\/\/doi.org\/10.1016\/j.proeng.2017.06.129","DOI":"10.1016\/j.proeng.2017.06.129"},{"issue":"4","key":"383_CR3","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1109\/TPAMI.2008.300","volume":"32","author":"RG von Gioi","year":"2010","unstructured":"von Gioi RG, Jakubowicz J, Morel JM, Randall G (2010) LSD: a fast line segment detector with a false detection control. IEEE Trans Pattern Anal Mach Intell 32(4):722\u2013732","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"383_CR4","doi-asserted-by":"publisher","unstructured":"Wei L, Dragomir A, Dumitru E, Christian S, Scott R, Cheng-Yang F, Berg Alexander C (2015) SSD: single shot multibox detector. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol 9905, LNCS, pp 21\u201337. https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2","DOI":"10.1007\/978-3-319-46448-0_2"},{"issue":"6","key":"383_CR5","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1145\/358669.358692","volume":"24","author":"MA Fischler","year":"1981","unstructured":"Fischler MA, Bolles RC (1981) Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24(6):381\u2013395","journal-title":"Commun ACM"},{"key":"383_CR6","doi-asserted-by":"publisher","unstructured":"Schafer BE, Picchi D, Engelhardt T, Abel D (2016) Multicopter unmanned aerial vehicle for automated inspection of wind turbines. In: 2016 24th Mediterranean conference on control and automation (MED), IEEE, pp 244\u2013249. ISBN 978-1-4673-8345-5. https:\/\/doi.org\/10.1109\/MED.2016.7536055.http:\/\/ieeexplore.ieee.org\/document\/7536055\/","DOI":"10.1109\/MED.2016.7536055."},{"key":"383_CR7","doi-asserted-by":"crossref","unstructured":"Stokkeland M, Klausen K, Johansen TA (2015) Autonomous visual navigation of unmanned aerial vehicle for wind turbine inspection. In: 2015 International conference on unmanned aircraft systems (ICUAS), IEEE, pp 998\u20131007. ISBN 978-1-4799-6010-1. 10.1109\/ICUAS.2015.7152389.http:\/\/ieeexplore.ieee.org\/document\/7152389\/","DOI":"10.1109\/ICUAS.2015.7152389"},{"key":"383_CR8","unstructured":"H\u00f8glund S (2014) Autonomous inspection of wind turbines and buildings using an UAV. Master\u2019s thesis, Norwegian University of Science and Technology. http:\/\/hdl.handle.net\/11250\/261287"},{"key":"383_CR9","unstructured":"Kanellakis C, Fresk E, Mansouri SS, Kominiak D, Nikolakopoulos G (2019) Autonomous visual inspection of large-scale infrastructures using aerial robots. CoRR. arXiv preprint arXiv:1901.05510"},{"key":"383_CR10","doi-asserted-by":"crossref","unstructured":"Hornung A, Wurm KM, Bennewitz M, Stachniss C, Burgard W (2013) OctoMap: an efficient probabilistic 3D mapping framework based on octrees. In: Autonomous robots","DOI":"10.1007\/s10514-012-9321-0"},{"key":"383_CR11","unstructured":"Stokkeland M (2014) A computer vision approach for autonomous wind turbine inspection using a multicopter. Master\u2019s thesis, Norwegian University of Science and Technology. http:\/\/www.diva-portal.org\/smash\/get\/diva2:744160\/FULLTEXT01.pdf"},{"key":"383_CR12","unstructured":"Hough PVC (1962) Method and means for recognizing complex patterns. US Patent No. 3,069,654.https:\/\/patents.google.com\/patent\/US3069654A\/en"},{"issue":"1","key":"383_CR13","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1145\/361237.361242","volume":"15","author":"RO Duda","year":"1972","unstructured":"Duda RO, Hart PE (1972) Use of the Hough transformation to detect lines and curves in pictures. Commun ACM 15(1):11\u201315. https:\/\/doi.org\/10.1145\/361237.361242","journal-title":"Commun ACM"},{"issue":"1\u20133","key":"383_CR14","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/0004-3702(81)90024-2","volume":"17","author":"BKP Horn","year":"1981","unstructured":"Horn BKP, Schunck BG (1981) Determining optical flow. Artif Intell 17(1\u20133):185\u2013203. https:\/\/doi.org\/10.1016\/0004-3702(81)90024-2","journal-title":"Artif Intell"},{"key":"383_CR15","unstructured":"Lucas BD, Kanade T (1981) An iterative image registration technique with an application to stereo vision. In: Proceedings of the 7th international joint conference on artificial intelligence, vol 2, IJCAI\u201981, San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., pp 674\u2013679. http:\/\/dl.acm.org\/citation.cfm?id=1623264.1623280"},{"issue":"6","key":"383_CR16","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"Ren S, He K, Girshick R, Sun J (2017) Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell 39(6):1137\u20131149","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"383_CR17","unstructured":"Simonyan K, Zisserman A (2015) Very deep convolutional networks for large-scale image recognition. Technical report. http:\/\/www.robots.ox.ac.uk\/"},{"key":"383_CR18","doi-asserted-by":"publisher","unstructured":"Cho DM, Tsiotras P, Zhang G, Holzinger M (2013) Robust feature detection, acquisition and tracking for relative navigation in space with a known target. In: AIAA guidance, navigation, and control (GNC) conference, guidance, navigation, and control and co-located conferences, American Institute of Aeronautics and Astronautics. https:\/\/doi.org\/10.2514\/6.2013-5197. https:\/\/doi.org\/10.2514\/6.2013-5197","DOI":"10.2514\/6.2013-5197"},{"key":"383_CR19","unstructured":"Boonsuk W (2016) Investigating effects of stereo baseline distance on accuracy of 3D projection for industrial robotic applications. In: 5th IAJC\/ISAM joint international conference, ISBN 9781606433799"},{"key":"383_CR20","unstructured":"Abbas SM, Muhammad A (2012) Outdoor RGB-D SLAM performance in slow mine detection. In: ROBOTIK 2012; 7th German conference on robotics"},{"issue":"5","key":"383_CR21","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.1109\/TRO.2017.2705103","volume":"33","author":"R Mur-Artal","year":"2017","unstructured":"Mur-Artal R, Tardos JD (2017) ORB-SLAM2: an open-source SLAM system for monocular, stereo, and RGB-D cameras. IEEE Trans Rob 33(5):1255\u20131262. https:\/\/doi.org\/10.1109\/TRO.2017.2705103","journal-title":"IEEE Trans Rob"},{"key":"383_CR22","doi-asserted-by":"publisher","unstructured":"Rosten E, Drummond T (2006) Machine learning for high-speed corner detection. In: Proceedings of the 9th European conference on computer vision: part I, ECCV\u201906, Springer, Berlin, pp 430\u2013443. ISBN 3-540-33832-2, 978-3-540-33832-1. https:\/\/doi.org\/10.1007\/11744023_34. http:\/\/dx.doi.org\/10.1007\/11744023_34","DOI":"10.1007\/11744023_34"},{"key":"383_CR23","doi-asserted-by":"publisher","unstructured":"Rublee E, Rabaud V, Konolige K, Bradski G (2011) ORB: an efficient alternative to SIFT or SURF. In: 2011 International conference on computer vision, pp 2564\u20132571. https:\/\/doi.org\/10.1109\/ICCV.2011.6126544","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"383_CR24","doi-asserted-by":"crossref","unstructured":"Rojas-Perez LO, Martinez-Carranza J (2017) Metric monocular SLAM and colour segmentation for multiple obstacle avoidance in autonomous flight. In: 2017 Workshop on research, education and development of unmanned aerial systems (RED-UAS)","DOI":"10.1109\/RED-UAS.2017.8101672"},{"key":"383_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s11370-018-00271-6","author":"H Moon","year":"2019","unstructured":"Moon H, Martinez-Carranza J, Cieslewski T, Faessler M, Falanga D, Simovic A, Scaramuzza D, Li S, Ozo M, Wagter C, de Croon G, Hwang S, Jung S, Shim H, Kim H, Park M, Au TC, Kim SJ (2019) Challenges and implemented technologies used in autonomous drone racing. Intell Serv Rob. https:\/\/doi.org\/10.1007\/s11370-018-00271-6","journal-title":"Intell Serv Rob"},{"key":"383_CR26","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1111\/cgf.13386","volume":"37","author":"M Zollh\u00f6fer","year":"2018","unstructured":"Zollh\u00f6fer M, Stotko P, G\u00f6rlitz A, Theobalt C, Nie\u00dfner M, Klein R, Kolb A (2018) State of the art on 3D reconstruction with RGB-D cameras. Comput Gr Forum 37:625\u2013652","journal-title":"Comput Gr Forum"}],"container-title":["Intelligent Service Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-021-00383-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11370-021-00383-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-021-00383-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T15:33:28Z","timestamp":1673192008000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11370-021-00383-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":26,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,9]]}},"alternative-id":["383"],"URL":"https:\/\/doi.org\/10.1007\/s11370-021-00383-6","relation":{},"ISSN":["1861-2776","1861-2784"],"issn-type":[{"type":"print","value":"1861-2776"},{"type":"electronic","value":"1861-2784"}],"subject":[],"published":{"date-parts":[[2021,9]]},"assertion":[{"value":"4 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}