{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T08:22:08Z","timestamp":1762417328841,"version":"build-2065373602"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T00:00:00Z","timestamp":1761177600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T00:00:00Z","timestamp":1761177600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Adv Manuf Technol"],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1007\/s00170-025-16696-0","type":"journal-article","created":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T08:46:08Z","timestamp":1761209168000},"page":"2183-2217","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Computer vision-based quality inspection for tire sealant application with simulated robotic dispensing"],"prefix":"10.1007","volume":"141","author":[{"given":"Leandro","family":"Moreira","sequence":"first","affiliation":[]},{"given":"Ant\u00f3nio","family":"Ramos Silva","sequence":"additional","affiliation":[]},{"given":"Filipe","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Fazenda","sequence":"additional","affiliation":[]},{"given":"Adriano","family":"Santos","sequence":"additional","affiliation":[]},{"given":"Ant\u00f3nio","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Ant\u00f3nio M.","family":"Lopes","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,10,23]]},"reference":[{"issue":"10","key":"16696_CR1","doi-asserted-by":"publisher","first-page":"3473","DOI":"10.1002\/acs.3885","volume":"38","author":"Z Peng","year":"2024","unstructured":"Peng Z, Song X, Song S, Stojanovic V (2024) Spatiotemporal fault estimation for switched nonlinear reaction\u2013diffusion systems via adaptive iterative learning. Int J Adapt Control Signal Process 38(10):3473\u20133483. https:\/\/doi.org\/10.1002\/acs.3885","journal-title":"Int J Adapt Control Signal Process"},{"key":"16696_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2024.128573","volume":"470","author":"J Fang","year":"2024","unstructured":"Fang J, Ren C, Wang H, Stojanovic V, He S (2024) Finite-region asynchronous H\u221e filtering for 2-D Markov jump systems in Roesser model. Appl Math Comput 470:128573. https:\/\/doi.org\/10.1016\/j.amc.2024.128573","journal-title":"Appl Math Comput"},{"issue":"Issue 14","key":"16696_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2024.107070","volume":"361","author":"D Zheng","year":"2024","unstructured":"Zheng D, Song X, Song S, Stojanovic V (2024) Quantized control for interconnected PDE systems via mobile measurement and control strategies. J Franklin Inst 361(Issue 14):107070. https:\/\/doi.org\/10.1016\/j.jfranklin.2024.107070","journal-title":"J Franklin Inst"},{"key":"16696_CR4","unstructured":"Michelin. Michelin\u00ae selfseal\u00ae technology. Available at https:\/\/www.michelinman.com\/auto\/why-michelin\/technological-innovations\/michelin-selfseal-technology, Accessed last time in January of 2025."},{"key":"16696_CR5","unstructured":"Continental. Sealing punctures with contiseal. Available at https:\/\/ae.continental-me.com\/en\/pages\/technology\/extended-mobility-solutions\/contiseal, Accessed last time in January."},{"key":"16696_CR6","unstructured":"Goodyear. Goodyear g289\u00ae wha\u00ae duraseal\u2122. Available at https:\/\/www.goodyearctsc.com\/tires\/tire-details.html?prodline=160940&prodcode=75614161400000, Accessed last time in January."},{"key":"16696_CR7","unstructured":"Pirelli. Seal inside\u2122. Available at https:\/\/www.pirelli.com\/tyres\/en-ww\/car\/tech-and-knowledge\/seal-inside, Accessed last time in January."},{"key":"16696_CR8","unstructured":"Hankook. Hankook tire to equip Volkswagen\u2019s first all-electric SUV with Ventus S1 EVO 3 EV tires. Available at https:\/\/www.hankooktire.com\/global\/en\/company\/media-list\/media-detail.69653.html, Accessed last time in January."},{"key":"16696_CR9","unstructured":"AMD. A guide to robotic cells in automation: electronics auto parts. Available at https:\/\/cdn.thomasnet.com\/kc\/5631\/doc\/A%20Guide%20to%20Robotic%20Cells%20in%20Automation.pdf , Accessed last time in January, 2024."},{"key":"16696_CR10","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.procir.2024.06.023","volume":"128","author":"C-V Ince","year":"2024","unstructured":"Ince C-V, Sch\u00f6nburg J, Raatz A (2024) Approach of automated robot arrangement in manufacturing cells. Procedia CIRP 128:286\u2013291. https:\/\/doi.org\/10.1016\/j.procir.2024.06.023","journal-title":"Procedia CIRP"},{"key":"16696_CR11","doi-asserted-by":"publisher","DOI":"10.3390\/app13042582","volume":"13","author":"P Bilancia","year":"2023","unstructured":"Bilancia P, Schmidt J, Raffaeli R, Peruzzini M, Pellicciari M (2023) An overview of industrial robots control and programming approaches. Appl Sci 13:2582. https:\/\/doi.org\/10.3390\/app13042582","journal-title":"Appl Sci"},{"key":"16696_CR12","doi-asserted-by":"publisher","first-page":"182","DOI":"10.4028\/www.scientific.net\/amm.613.182","volume":"613","author":"M Mudr\u00e1k","year":"2014","unstructured":"Mudr\u00e1k M, Hubinsk\u00fd P, Mudr\u00e1kov\u00e1 T (2014) Robotic cell control system standardization. Appl Mech Mater 613:182\u2013189. https:\/\/doi.org\/10.4028\/www.scientific.net\/amm.613.182","journal-title":"Appl Mech Mater"},{"key":"16696_CR13","unstructured":"Elastomers: technologies driving innovation in tires | Adhesives manufacturing company, https:\/\/www.hbfuller.com\/en\/blog\/thegluetalkblog\/2021\/august\/elastomers-technologies-driving-innovation-in-tires, Accessed: 2025\u201303\u201329"},{"issue":"4","key":"16696_CR14","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1109\/MRA.2009.934833","volume":"16","author":"P Sanz","year":"2009","unstructured":"Sanz P (2009) Robotics: Modeling, Planning, and Control (Siciliano, B. et al; 2009) [On the Shelf]. IEEE Robot Autom Mag 16(4):101\u2013101. https:\/\/doi.org\/10.1109\/MRA.2009.934833","journal-title":"IEEE Robot Autom Mag"},{"key":"16696_CR15","doi-asserted-by":"publisher","unstructured":"Santos AA, Haladus J, Pereira F, Felgueiras C, Fazenda R (2024) Simulation case study for improving painting tires process using the Fanuc Roboguide Software. In: Silva, F.J.G., Pereira, A.B., Campilho, R.D.S.G. (eds) Flexible automation and intelligent manufacturing: establishing bridges for more sustainable manufacturing systems. FAIM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-38241-3_58","DOI":"10.1007\/978-3-031-38241-3_58"},{"key":"16696_CR16","doi-asserted-by":"publisher","first-page":"3957","DOI":"10.1007\/s00170-024-13208-4","volume":"136","author":"AA Santos","year":"2025","unstructured":"Santos AA, Pereira F, Felgueiras C (2025) Optimization and improving of the production capacity of a flexible tyre painting cell. Int J Adv Manuf Technol 136:3957\u20133969. https:\/\/doi.org\/10.1007\/s00170-024-13208-4","journal-title":"Int J Adv Manuf Technol"},{"key":"16696_CR17","unstructured":"Niall Henry. Understanding robot coordinate frames and points. Available at https:\/\/www.solisplc.com\/tutorials\/robot-coordinate-frames-and-points#user-base-frame, Accessed last time in Janury, 2024."},{"key":"16696_CR18","doi-asserted-by":"publisher","unstructured":"Krot K, Kutia V (2019) Intuitive methods of industrial robot programming in advanced manufacturing systems. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, 835. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-319-97490-3_20","DOI":"10.1007\/978-3-319-97490-3_20"},{"key":"16696_CR19","doi-asserted-by":"publisher","DOI":"10.3390\/app15031336","volume":"15","author":"N Terras","year":"2025","unstructured":"Terras N, Pereira F, Ramos Silva A, Santos AA, Lopes AM, Silva AFd, Cartal LA, Apostolescu TC, Badea F, Machado J (2025) Integration of deep learning vision systems in collaborative robotics for real-time applications. Appl Sci 15:1336. https:\/\/doi.org\/10.3390\/app15031336","journal-title":"Appl Sci"},{"key":"16696_CR20","doi-asserted-by":"publisher","first-page":"7","DOI":"10.17683\/ijomam\/issue16.1","volume":"16","author":"A Monteiro","year":"2024","unstructured":"Monteiro A, Pereira F, Santos A, Machado J, Oliveira M (2024) Modelling and simulation of a pick & place system using Modelica modelling language and an inverse kinematics. Int J Mech Appl Mech 16:7\u201317. https:\/\/doi.org\/10.17683\/ijomam\/issue16.1","journal-title":"Int J Mech Appl Mech"},{"key":"16696_CR21","unstructured":"Nicholas James Gregory Hollows. Understanding focal length and field of view. Available at https:\/\/www.edmundoptics.com\/knowledge-center\/application-notes\/imaging\/understanding-focal-length-and-field-of-view\/, Accessed last time in January, 2024."},{"key":"16696_CR22","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s00004-015-0279-z","volume":"18","author":"N Emami","year":"2016","unstructured":"Emami N, Giles H (2016) Geometric patterns, light and shade: quantifying aperture ratio and pattern resolution in the performance of shading screens. Nexus Netw J 18:197\u2013222. https:\/\/doi.org\/10.1007\/s00004-015-0279-z","journal-title":"Nexus Netw J"},{"key":"16696_CR23","doi-asserted-by":"publisher","unstructured":"Suresh HS, Niranjanamurthy M (2021) Image Processing Using OpenCV Technique for Real World Data. In: Favorskaya, M.N., Peng, SL., Simic, M., Alhadidi, B., Pal, S. (eds) Intelligent computing paradigm and cutting-edge technologies. ICICCT 2020. Learning and Analytics in Intelligent Systems, 21. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-65407-8_24","DOI":"10.1007\/978-3-030-65407-8_24"},{"key":"16696_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-024-02195-z","volume":"110","author":"AA Santos","year":"2024","unstructured":"Santos AA, Schreurs C, da Silva AF et al (2024) Integration of artificial vision and image processing into a pick and place collaborative robotic system. J Intell Robot Syst 110:159. https:\/\/doi.org\/10.1007\/s10846-024-02195-z","journal-title":"J Intell Robot Syst"},{"key":"16696_CR25","doi-asserted-by":"publisher","unstructured":"Rodrigues M, Pereira F, Machado J (2023) Analysis of basic characteristics of textile yarn using image processing techniques. In: Burduk, A., Batako, A., Machado, J., Wycz\u00f3\u0142kowski, R., Antosz, K., Gola, A. (eds) Advances in Production. ISPEM 2023. Lecture Notes in Networks and Systems, vol 790. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-45021-1_16","DOI":"10.1007\/978-3-031-45021-1_16"},{"key":"16696_CR26","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12010236","volume":"12","author":"F Pereira","year":"2023","unstructured":"Pereira F, Macedo A, Pinto L, Soares F, Vasconcelos R, Machado J, Carvalho V (2023) Intelligent computer vision system for analysis and characterization of yarn quality. Electronics 12:236. https:\/\/doi.org\/10.3390\/electronics12010236","journal-title":"Electronics"},{"key":"16696_CR27","doi-asserted-by":"publisher","unstructured":"Westland S, Cheung V (2012) RGB Systems. In: Chen, J., Cranton, W., Fihn, M. (eds) Handbook of Visual Display Technology. Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/978-3-540-79567-4_12","DOI":"10.1007\/978-3-540-79567-4_12"},{"key":"16696_CR28","unstructured":"OPTO Engineering. Illumination geometries and techniques. Available at https:\/\/www.opto-e.com\/en\/basics\/illumination-geometries-and-techniques , Accessed last time in January."},{"key":"16696_CR29","doi-asserted-by":"publisher","first-page":"2491","DOI":"10.1007\/s00170-016-9581-5","volume":"90","author":"V Chauhan","year":"2017","unstructured":"Chauhan V, Surgenor B (2017) Fault detection and classification in automated assembly machines using machine vision. Int J Adv Manuf Technol 90:2491\u20132512. https:\/\/doi.org\/10.1007\/s00170-016-9581-5","journal-title":"Int J Adv Manuf Technol"},{"key":"16696_CR30","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF02561326","volume":"51","author":"KH Hapel","year":"1985","unstructured":"Hapel KH (1985) Digitale Bildverarbeitung spannungsoptischer Isochromatenbilder. Forsch Ing-Wes 51:193\u2013199. https:\/\/doi.org\/10.1007\/BF02561326","journal-title":"Forsch Ing-Wes"},{"key":"16696_CR31","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.1007\/s11760-022-02150-1","volume":"16","author":"F Calderon","year":"2022","unstructured":"Calderon F, Garnica-Carrillo A, Reyes-Zu\u00f1iga C (2022) Binarization of images with variable lighting using adaptive windows. SIViP 16:1905\u20131912. https:\/\/doi.org\/10.1007\/s11760-022-02150-1","journal-title":"SIViP"},{"key":"16696_CR32","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.jmapro.2018.10.003","volume":"36","author":"AY Mustafa","year":"2018","unstructured":"Mustafa AY (2018) Modelling of the hole quality characteristics by extreme learning machine in fiber laser drilling of Ti-6Al-4V. J Manuf Process 36:138\u2013148. https:\/\/doi.org\/10.1016\/j.jmapro.2018.10.003. (ISSN 1526-6125)","journal-title":"J Manuf Process"},{"key":"16696_CR33","unstructured":"OpenCV. Image thresholding. Available at https:\/\/docs.opencv.org\/4.x\/d7\/d4d\/tutorial_py_thresholding.html, Accessed last time in January."},{"key":"16696_CR34","unstructured":"Temizel C, Sari MM, Canbaz CH, Saputelli L, &#38; Torsaeter O (2021) Sustainable materials for oil and gas applications ([edition unavailable]). Gulf Professional Publishing. Retrieved from https:\/\/www.perlego.com\/book\/4474336\/sustainable-materials-for-oil-and-gas-applications-pdf (Original work published 2021)"},{"issue":"6","key":"16696_CR35","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1109\/JSTSP.2012.2213236","volume":"6","author":"P Lebreton","year":"2012","unstructured":"Lebreton P, Raake A, Barkowsky M, Le Callet P (2012) Evaluating depth perception of 3D stereoscopic videos. IEEE J Sel Top Signal Process 6(6):710\u2013720","journal-title":"IEEE J Sel Top Signal Process"},{"issue":"1","key":"16696_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.optlastec.2010.04.008","volume":"43","author":"X Jing","year":"2011","unstructured":"Jing X, Xi N, Zhang C, Shi Q, Gregory J (2011) Real-time 3D shape inspection system of automotive parts based on structured light pattern. Optics Laser Technol 43(1):1\u20138. https:\/\/doi.org\/10.1016\/j.optlastec.2010.04.008. (ISSN 0030-3992)","journal-title":"Optics Laser Technol"},{"key":"16696_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102126","volume":"103","author":"PN Leite","year":"2024","unstructured":"Leite PN, Pinto AM (2024) Fusing heterogeneous tri-dimensional information for reconstructing submerged structures in harsh sub-sea environments. Inf Fusion 103:102126. https:\/\/doi.org\/10.1016\/j.inffus.2023.102126","journal-title":"Inf Fusion"},{"key":"16696_CR38","doi-asserted-by":"publisher","first-page":"53030","DOI":"10.1109\/ACCESS.2021.3070694","volume":"9","author":"MI Pereira","year":"2021","unstructured":"Pereira MI, Claro RM, Leite PN, Pinto AM (2021) Advancing autonomous surface vehicles: a 3D perception system for the recognition and assessment of docking-based structures. IEEE Access 9:53030\u201353045","journal-title":"IEEE Access"},{"key":"16696_CR39","unstructured":"Justin Johnson. Lecture 17:3d vision, 2019. Accessed: December 21, 2024."},{"key":"16696_CR40","unstructured":"Looking Glass. Depth maps: how software encodes 3d space. Available at https:\/\/lookingglassfactory.com\/blog\/depth-map, Accessed last time in December 2024, 2023."},{"key":"16696_CR41","unstructured":"Ph\u00fac L\u00ea. Create 3d model from a single 2d image in pytorch. Available at https:\/\/medium.com\/vitalify-asia\/create-3d-model-from-a-single-2d-image-in-pytorch-917aca00bb07, Accessed last time in December 2024, 20108."},{"issue":"8","key":"16696_CR42","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/j.ifacol.2024.08.127","volume":"58","author":"L Freitas","year":"2024","unstructured":"Freitas L, Pereira F, Lopes H, Lima A, Marujo P, Ottaviano E, Machado J (2024) OPC-UA in interoperability \u2013 a performance comparative testing. IFAC-PapersOnLine 58(8):240\u2013245. https:\/\/doi.org\/10.1016\/j.ifacol.2024.08.127","journal-title":"IFAC-PapersOnLine"},{"key":"16696_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2024.102944","volume":"94","author":"MM Mahdi","year":"2025","unstructured":"Mahdi MM, Bajestani MS, Noh SD, Kim DB (2025) Digital twin-based architecture for wire arc additive manufacturing using OPC UA. Robot Comput-Integr Manuf 94:102944. https:\/\/doi.org\/10.1016\/j.rcim.2024.102944","journal-title":"Robot Comput-Integr Manuf"},{"key":"16696_CR44","doi-asserted-by":"publisher","first-page":"102927","DOI":"10.1016\/j.rcim.2024.102927","volume":"93","author":"Tang Ji","year":"2025","unstructured":"Ji Tang, Xun Xu (2025) Exploring the Integration of cloud manufacturing and cyber-physical systems in the era of industry 4.0 \u2013 An OPC UA approach. Robot Comput-Integr Manuf 93:102927. https:\/\/doi.org\/10.1016\/j.rcim.2024.102927. (ISSN 0736-5845)","journal-title":"Robot Comput-Integr Manuf"},{"key":"16696_CR45","doi-asserted-by":"publisher","DOI":"10.3390\/jmmp9040132","volume":"9","author":"G Raposo","year":"2025","unstructured":"Raposo G, Ara\u00fajo N, Parente M, Lopes AM, Santos A, Pereira F, Leite S, Ramos Silva A (2025) Personalizing industrial maintenance operation using the model of hierarchical complexity. J Manuf Mater Process 9:132. https:\/\/doi.org\/10.3390\/jmmp9040132","journal-title":"J Manuf Mater Process"},{"key":"16696_CR46","doi-asserted-by":"publisher","DOI":"10.3390\/app15137402","volume":"15","author":"L Patr\u00edcio","year":"2025","unstructured":"Patr\u00edcio L, Varela L, Silveira Z, Felgueiras C, Pereira F (2025) A framework for integrating robotic process automation with artificial intelligence applied to industry 5.0. Appl Sci 15:7402. https:\/\/doi.org\/10.3390\/app15137402","journal-title":"Appl Sci"},{"key":"16696_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2025.101734","volume":"33","author":"L Freitas","year":"2025","unstructured":"Freitas L, Silva M, Vale G, Avram C, Lopes H, Pereira F, Leal N, Machado J (2025) OPC UA and MQTT performance analysis within a unified namespace context. Internet Things 33:101734. https:\/\/doi.org\/10.1016\/j.iot.2025.101734","journal-title":"Internet Things"},{"key":"16696_CR48","doi-asserted-by":"publisher","DOI":"10.3390\/pr10020255","volume":"10","author":"H Yang","year":"2022","unstructured":"Yang H, Jiang Y, Deng F, Mu Y, Zhong Y, Jiao D (2022) Detection of bubble defects on tire surface based on line laser and machine vision. Processes 10:255. https:\/\/doi.org\/10.3390\/pr10020255","journal-title":"Processes"},{"key":"16696_CR49","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-35227-z","volume":"13","author":"SL Lin","year":"2023","unstructured":"Lin SL (2023) Research on tire crack detection using image deep learning method. Sci Rep 13:8027. https:\/\/doi.org\/10.1038\/s41598-023-35227-z","journal-title":"Sci Rep"},{"key":"16696_CR50","doi-asserted-by":"publisher","first-page":"12483","DOI":"10.1007\/s00521-024-09664-4","volume":"36","author":"RAA Saleh","year":"2024","unstructured":"Saleh RAA, Konyar MZ, Kaplan K et al (2024) End-to-end tire defect detection model based on transfer learning techniques. Neural Comput Appl 36:12483\u201312503. https:\/\/doi.org\/10.1007\/s00521-024-09664-4","journal-title":"Neural Comput Appl"},{"key":"16696_CR51","doi-asserted-by":"publisher","DOI":"10.3390\/s21217073","volume":"21","author":"I Kuric","year":"2021","unstructured":"Kuric I, Klar\u00e1k J, S\u00e1ga M, C\u00edsar M, Hajdu\u010d\u00edk A, Wiecek D (2021) Analysis of the possibilities of tire-defect inspection based on unsupervised learning and deep learning. Sensors 21:7073. https:\/\/doi.org\/10.3390\/s21217073","journal-title":"Sensors"},{"key":"16696_CR52","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-024-02378-3","author":"T Mignot","year":"2024","unstructured":"Mignot T, Ponchon F, Derville A et al (2024) An automatic inspection system for the detection of tire surface defects and their severity classification through a two-stage multimodal deep learning approach. J Intell Manuf. https:\/\/doi.org\/10.1007\/s10845-024-02378-3","journal-title":"J Intell Manuf"},{"issue":"1","key":"16696_CR53","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1080\/18824889.2024.2314800","volume":"17","author":"T Emoto","year":"2024","unstructured":"Emoto T, Ravankar AA, Ravankar A, Emaru T, Kobayashi Y (2024) Automatic inspection of wheel surface defects using a combination of laser sensors and machine vision. SICE J Control Meas Syst Integr 17(1):57\u201366. https:\/\/doi.org\/10.1080\/18824889.2024.2314800","journal-title":"SICE J Control Meas Syst Integr"},{"issue":"7\u20138","key":"16696_CR54","doi-asserted-by":"publisher","first-page":"1292","DOI":"10.1177\/00202940221098051","volume":"56","author":"A Castriota","year":"2023","unstructured":"Castriota A, De Giorgi M, Manco F, Morabito A, Nobile R (2023) A semi-automatic methodology for tire\u2019s wear evaluation. Meas Control 56(7\u20138):1292\u20131307. https:\/\/doi.org\/10.1177\/00202940221098051","journal-title":"Meas Control"}],"container-title":["The International Journal of Advanced Manufacturing Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00170-025-16696-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00170-025-16696-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00170-025-16696-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T08:19:21Z","timestamp":1762417161000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00170-025-16696-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,23]]},"references-count":54,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["16696"],"URL":"https:\/\/doi.org\/10.1007\/s00170-025-16696-0","relation":{},"ISSN":["0268-3768","1433-3015"],"issn-type":[{"type":"print","value":"0268-3768"},{"type":"electronic","value":"1433-3015"}],"subject":[],"published":{"date-parts":[[2025,10,23]]},"assertion":[{"value":"16 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 September 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 October 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}