https://m2.mtmt.hu/ hun 2026-05-02 09:07 BookChapter 36883814 ADMIN_APPROVED true 2025 IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary Date of Conference: 18-20 Nov 2025 0 false 2026-04-17T10:16:47.875+0000 2026-04-17T10:06:14.317+0000 2026-01-20T14:04:32.009+0000 true 10069066 Eszenyi-Bakos Kinga /api/admin/10069066 Admin Eszenyi-Bakos Kinga (BGE EK admin 5) true 2026-04-17T10:06:10.305+0000 2026-04-17T10:06:10.305+0000 2026-04-17T10:06:14.320+0000 true 10072287 Nagyné Herczeg Bernadett /api/admin/10072287 Admin Nagyné Herczeg Bernadett (könyvtár, admin) true true false true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType Konferenciaközlemény (Könyvrészlet) 228 true 10000312 true 1 /api/category/1 Category Tudományos true 1 Udvaros, József 313 318 313 6 2025 The condition assessment of glass cladding of highrise buildings is of paramount importance for structural safety and long-term maintainability. Traditional inspection methods are manual, time-consuming and costly procedures that carry significant risks for the inspection professionals. This study presents an integrated drone-based system that automates the crack and defect detection of glass cladding of skyscrapers using artificial intelligence and multi-sensor data collection. The system uses a combination of optical, LiDAR, thermographic and hyperspectral sensors, and the data is analyzed by deep learning models (YOLOv8, ResNet50, PointNet++ + CNN). Algorithmic performance measurements on open datasets (CrackTree200, DeepCrack) demonstrated that the multi-sensor fusion model achieved an F1 score of 93.7%, while YOLOv8 achieved an outstanding real-time frame rate of 28 frames/second. The results highlight the advantages of multimodal data processing, especially in improving the accuracy of fault detection. Future development directions include online learning, the introduction of resourceefficient network architectures, automatic route adaptation, and the integration of 5G/6G communication technologies. The proposed system can contribute to safer, more cost-effective, and data-driven maintenance processes for high-rise buildings. true 2026 true true true true false NONE 2026-04-17 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 false false false false 2026-04-16T10:06:14.095+0000 Informatika Tanszék (BGE / PSZK) 2 15 1 2 0 true 826 true 10002 English /api/language/10002 Angol Language Angol true 2 false true 10939 true 10017 /api/country/10017 Country Amerikai Egyesült Államok true 13 /api/city/10939 City Piscataway (NJ), Amerikai Egyesült Államok true 2054246 true 30181689 IDENTICAL /api/publicationidentifier/30181689 https://www.worldcat.org/search?q=isbn%3A9798331552916 9798331552916 PublicationIdentifier ISBN: 9798331552916 true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource ISBN true true 10002 /api/publicationsourcetype/10002 PublicationSourceType Egyéb true false 122 true false /api/publication/36442842 Szakál Anikó. IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI 2025) : Proceedings. (2025) ISBN:9798331552916 true true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book false true 36442842 true true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType Konferenciakötet (Könyv) 345 true 10000144 false Book 2025 true 1 /api/category/1 Category Tudományos true 1 false Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 133016768 /api/authorship/133016768 Udvaros, József [Udvaros, József (Informatika módsz...), szerző] Informatika Tanszék (BGE / PSZK) 1 0.5 true false false Author 10034245 /api/author/10034245 Udvaros József (Informatika módszertan) Udvaros József true 10034245 true Udvaros József true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 133016769 /api/authorship/133016769 Forman, Norbert [Forman, Norbert (Gazdaságinformatika), szerző] Informatika Tanszék (BGE / PSZK) 2 0.5 false true false Author 10081542 /api/author/10081542 Forman Norbert (Gazdaságinformatika) Forman Norbert true true Forman Norbert true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 31231467 /api/publicationidentifier/31231467 DOI: 10.1109/CINTI67731.2025.11311735 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/CINTI67731.2025.11311735 https://doi.org/10.1109/CINTI67731.2025.11311735 false true PublicationIdentifier 31851819 /api/publicationidentifier/31851819 Scopus: 105032755669 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true 105032755669 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105032755669 false true PublicationIdentifier 31231468 /api/publicationidentifier/31231468 Egyéb URL: https://ieeexplore.ieee.org/document/11311735/ PlainSource 40 /api/publicationsource/40 Egyéb URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/11311735/ https://ieeexplore.ieee.org/document/11311735/ false true Reference 71628822 /api/reference/71628822 1. DOI: 10.1016/j.autcon.2018.05.002 1 10.1016/j.autcon.2018.05.002 false true Reference 71628823 /api/reference/71628823 2. DOI: 10.1109/ACCESS.2024.3360209 2 10.1109/ACCESS.2024.3360209 false true Reference 71628824 /api/reference/71628824 3. DOI: 10.1109/5.554205 3 10.1109/5.554205 false true Reference 71628825 /api/reference/71628825 4. DOI: 10.1109/21.44007 4 10.1109/21.44007 false true Reference 71628826 /api/reference/71628826 5. DOI: 10.1109/JSTARS.2014.2329330 5 10.1109/JSTARS.2014.2329330 false true Reference 71628827 /api/reference/71628827 6. DOI: 10.3390/drones7080526 6 10.3390/drones7080526 false true Reference 71628828 /api/reference/71628828 7. DOI: 10.1109/HPSR48589.2020.9098989 7 10.1109/HPSR48589.2020.9098989 false true Reference 71628829 /api/reference/71628829 8. DOI: 10.1016/j.plaphe.2025.100090 8 10.1016/j.plaphe.2025.100090 false true Reference 71628830 /api/reference/71628830 9. Braun 2018: Building Information Modeling-Technology Foundations and Industry Practice. 9 false true Reference 71628831 /api/reference/71628831 10. DOI: 10.1017/CBO9781316017876 10 10.1017/CBO9781316017876 false true Reference 71628832 /api/reference/71628832 11. DOI: 10.1002/rob.21504 11 10.1002/rob.21504 false true Reference 71628833 /api/reference/71628833 12. DOI: 10.1016/j.chemolab.2022.104711 12 10.1016/j.chemolab.2022.104711 false true Reference 71628834 /api/reference/71628834 13. DOI: 10.1109/CVPR.2016.91 13 10.1109/CVPR.2016.91 false true Reference 71628835 /api/reference/71628835 14. DOI: 10.32604/cmc.2025.061575 14 10.32604/cmc.2025.061575 false true Reference 71628836 /api/reference/71628836 15. Kada 2021: ALS point cloud classification using PointNet++ and KPConv with prior knowledge. The International Archives of the Photogrammetry., Remote Sensing and Spatial Information Sciences, 46, p. 91 15 false true Reference 71628837 /api/reference/71628837 16. DOI: 10.1061/(ASCE)0887-3801(2003)17:4(255) 16 10.1061/(ASCE)0887-3801(2003)17:4(255) false true Reference 71628838 /api/reference/71628838 17. Hussain 2020: Predictive maintenance using machine learning: A review., Journal of Industrial Engineering and Management. 17 false true Reference 71628839 /api/reference/71628839 18. DOI: 10.1016/j.patrec.2011.11.004 18 10.1016/j.patrec.2011.11.004 false true Reference 71628840 /api/reference/71628840 19. DOI: 10.1109/TIP.2018.2878966 19 10.1109/TIP.2018.2878966 false true /api/publication/36883814 Udvaros József et al. Application of Drones for Crack Inspection of Glass Cladding of Skyscrapers: An Artificial IntelligenceBased Data Processing and Analysis System. (2025) Megjelent: IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI 2025) : Proceedings pp. 313-318<div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10034245"><a href="/gui2/?type=authors&mode=browse&sel=10034245" target="_blank">Udvaros József (<span class="authorship-author-name">Udvaros József</span> <span class="authorAux-mtmt"> Informatika módszertan</span>) </a> </span> <span class="author-affil"><span title="Budapesti Gazdaságtudományi Egyetem">BGE</span>/<span title="Pénzügy és Számvitel Kar">PSZK</span>/Informatika Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10081542"><a href="/gui2/?type=authors&mode=browse&sel=10081542" target="_blank">Forman Norbert (<span class="authorship-author-name">Forman Norbert</span> <span class="authorAux-mtmt"> Gazdaságinformatika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Gazdaságtudományi Egyetem">BGE</span>/<span title="Pénzügy és Számvitel Kar">PSZK</span>/Informatika Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36883814" target="_blank">Application of Drones for Crack Inspection of Glass Cladding of Skyscrapers: An Artificial IntelligenceBased Data Processing and Analysis System</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-name" mtid="10039071"><a href="/gui2/?type=authors&mode=browse&sel=10039071" target="_blank">Szakál Anikó (<span class="authorship-author-name">Szakál Anikó</span> <span class="authorAux-mtmt"> műszaki informatika</span>) </a> </span> <span class="author-affil">Óbudai Egyetem</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;36442842" target="_blank">IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI 2025) : Proceedings </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Budapest, Magyarország <span class="conference-date">2025.11.18. - 2025.11.19.</span> (<span class="conference-organizer">Óbudai Egyetem,</span> <span class="conference-organizer">IEEE Hungary Section) </div> <span class="publishedAt">Piscataway (NJ): <span class="publishers">IEEE Hungary Section</span>, <span class="page"> pp 313-318 </span> <span class="year">(2025)</span> ( <span class="seriesTitle">International Symposium on Computational Intelligence and Informatics, CINTI</span> <span class="issn">2380-8586</span> <span class="issn">2471-9269</span> ) </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1109/CINTI67731.2025.11311735" target="_blank" href="https://doi.org/10.1109/CINTI67731.2025.11311735"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="105032755669" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105032755669"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://ieeexplore.ieee.org/document/11311735/" target="_blank" href="https://ieeexplore.ieee.org/document/11311735/"> Egyéb URL </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="9798331552916" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798331552916"> 9798331552916 </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36883814</span> | <span class="status-data status-ADMIN_APPROVED"> Admin láttamozott </span> <span class="long-book-mtid">Befoglaló: 36442842</span> Forrás | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData"></span> </div> <div class="lastModified">Utolsó módosítás: 2026.04.17. 12:06 Nagyné Herczeg Bernadett (könyvtár, admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: 2025 IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary Date of Conference: 18-20 Nov 2025</pre> </div> </div>