{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T04:06:21Z","timestamp":1783397181701,"version":"3.54.6"},"reference-count":32,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T00:00:00Z","timestamp":1613001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["826250"],"award-info":[{"award-number":["826250"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Railway infrastructure must meet safety requirements concerning its construction and operation. Track geometry monitoring is one of the most important activities in maintaining the steady technical conditions of rail infrastructure. Commonly, it is performed using complex measurement equipment installed on track-recording coaches. Existing low-cost inertial sensor-based measurement systems provide reliable measurements of track geometry in vertical directions. However, solutions are needed for track geometry parameter measurement in the lateral direction. In this research, the authors developed a visual measurement system for track gauge evaluation. It involves the detection of measurement points and the visual measurement of the distance between them. The accuracy of the visual measurement system was evaluated in the laboratory and showed promising results. The initial field test was performed in the Vilnius railway station yard, driving at low velocity on the straight track section. The results show that the image point selection method developed for selecting the wheel and rail points to measure distance is stable enough for TG measurement. Recommendations for the further improvement of the developed system are presented.<\/jats:p>","DOI":"10.3390\/s21041297","type":"journal-article","created":{"date-parts":[[2021,2,12]],"date-time":"2021-02-12T18:45:00Z","timestamp":1613155500000},"page":"1297","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Visual Measurement System for Wheel\u2013Rail Lateral Position Evaluation"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8080-875X","authenticated-orcid":false,"given":"Viktor","family":"Skrickij","sequence":"first","affiliation":[{"name":"Transport and Logistics Competence Centre, Transport Engineering Faculty, Vilnius Gediminas Technical University, Saul\u0117tekio al. 11, 10223 Vilnius, Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4724-0787","authenticated-orcid":false,"given":"Eldar","family":"\u0160abanovi\u010d","sequence":"additional","affiliation":[{"name":"Transport and Logistics Competence Centre, Transport Engineering Faculty, Vilnius Gediminas Technical University, Saul\u0117tekio al. 11, 10223 Vilnius, Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dachuan","family":"Shi","sequence":"additional","affiliation":[{"name":"Institute of Land and Sea Transport Systems, Technical University of Berlin, Strasse des 17. Juni 135, 10623 Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8518-8166","authenticated-orcid":false,"given":"Stefano","family":"Ricci","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Civile, Edile e Ambientale (DICEA), Sapienza Universit\u00e0 di Roma, Via Eudossiana 18, 00184 Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luca","family":"Rizzetto","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Civile, Edile e Ambientale (DICEA), Sapienza Universit\u00e0 di Roma, Via Eudossiana 18, 00184 Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3934-0005","authenticated-orcid":false,"given":"Gintautas","family":"Bureika","sequence":"additional","affiliation":[{"name":"Transport and Logistics Competence Centre, Transport Engineering Faculty, Vilnius Gediminas Technical University, Saul\u0117tekio al. 11, 10223 Vilnius, Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1504\/IJHVS.2019.102682","article-title":"Evaluation criteria of wheel\/rail interaction measurement results by trackside control equipment","volume":"26","author":"Bureika","year":"2019","journal-title":"Int. J. Heavy Veh. Syst."},{"key":"ref_2","unstructured":"(2020, December 28). Track Geometry Measurement System Market. Available online: https:\/\/www.marketsandmarkets.com\/Market-Reports\/track-geometry-measurement-system-market-31376329.html."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wang, H., Berkers, J., van den Hurk, N., and Layegh, N.F. (2021). Study of loaded versus unloaded measurements in railway track inspection. Measurement, 169.","DOI":"10.1016\/j.measurement.2020.108556"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1016\/j.ymssp.2018.06.041","article-title":"Estimation of lateral and cross alignment in a railway track based on vehicle dynamics measurements","volume":"116","author":"Rosa","year":"2019","journal-title":"Mech. Syst. Sig. Process."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.measurement.2015.11.033","article-title":"Urban rail track condition monitoring based on in-service vehicle acceleration measurements","volume":"80","author":"Wei","year":"2016","journal-title":"Measurement"},{"key":"ref_6","unstructured":"(2020, December 28). EN13848-1:2019. Railway Applications. Track. Track Geometry Quality Characterisation of Track Geometry. Available online: https:\/\/standards.iteh.ai\/catalog\/standards\/cen\/19848cc1-08a5-44aa-96aa-18294c6ab12f\/en-13848-1-2019."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Chen, Q., Niu, X., Zuo, L., Zhang, T., Xiao, F., Liu, Y., and Liu, J. (2018). A Railway Track Geometry Measuring Trolley System Based on Aided INS. Sensors, 18.","DOI":"10.3390\/s18020538"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Kampczyk, A. (2020). Magnetic-measuring square in the measurement of the circular curve of rail transport tracks. Sensors, 20.","DOI":"10.3390\/s20020560"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.jmatprotec.2004.09.029","article-title":"Autonomous track geometry diagnostics system","volume":"157","author":"Madejski","year":"2004","journal-title":"J. Mater. Process. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.proeng.2015.07.099","article-title":"Assessment of the Track Geometry Quality from the Aspect of Safe and Reliable Operation of the Railway Track","volume":"111","year":"2015","journal-title":"Procedia Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.ress.2013.02.010","article-title":"Stochastic model for the geometrical rail track degradation process in the portuguese railway northern line","volume":"116","author":"Vale","year":"2013","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1177\/0954409713503460","article-title":"Markov-based model for the prediction of railway track irregularities","volume":"229","author":"Bai","year":"2015","journal-title":"Proc. Inst. Mech. Eng. Part F"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.ress.2015.05.009","article-title":"Statistical modelling of railway track geometry degradation using hierarchical Bayesian models","volume":"142","author":"Andrade","year":"2015","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ress.2018.07.004","article-title":"A knowledge-based prognostics framework for railway track geometry degradation","volume":"181","author":"Prescott","year":"2019","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_15","unstructured":"True, H., and Christiansen, L.E. (2017, January 1\u201312). Why is it so difficult to determine the lateral Position of the Rails by a Measurement of the Motion of an Axle on a moving Vehicle?. Proceedings of the First International Conference on Rail Transportation 2017, Chengdu, China."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1080\/00423114.2015.1034730","article-title":"Perspectives on railway track geometry condition monitoring from in-service railway vehicles","volume":"53","author":"Weston","year":"2015","journal-title":"Veh. Syst. Dyn."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Alfi, S., and Bruni, S. (2008, January 18\u201320). Estimation of long wavelength track irregularities from on board measurement. Proceedings of the 4th IET International Conference Railway Condition Monitoring, Derby, UK.","DOI":"10.1049\/ic:20080323"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Xiong, Z., Li, Q., Mao, Q., and Zou, Q. (2017). A 3D Laser Profiling System for Rail Surface Defect Detection. Sensors, 17.","DOI":"10.3390\/s17081791"},{"key":"ref_19","unstructured":"Burstow, M., Podesta, M., and Pearce, J. (2011, January 14\u201319). Understanding wheel\/rail interaction with thermographic imaging. Proceedings of the 22nd International Symposium on Dynamics of Vehicles on Roads and Tracks 2017, Manchester, UK."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"65","DOI":"10.2219\/rtriqr.60.1_65","article-title":"Improvement of method for locating position of wheel\/rail contact by means of thermal imaging","volume":"60","author":"Yamamoto","year":"2019","journal-title":"Q. Rep. Rtri"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Marino, F., and Stella, E. (2007). ViSyR: A vision system for real-time infrastructure inspection. Vision Systems: Applications, InTech.","DOI":"10.5772\/4985"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1593","DOI":"10.1109\/TIM.2018.2803830","article-title":"Automatic Visual Detection System of Railway Surface Defects with Curvature Filter and Improved Gaussian Mixture Model","volume":"67","author":"Zhang","year":"2018","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1109\/TIM.2018.2853958","article-title":"A Coarse-to-Fine Model for Rail Surface Defect Detection","volume":"68","author":"Yu","year":"2018","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"125109","DOI":"10.1109\/ACCESS.2020.3007603","article-title":"SCueU-Net: Efficient Damage Detection Method for Railway Rail","volume":"8","author":"Lu","year":"2020","journal-title":"IEEE Access"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1109\/TIM.2019.2909940","article-title":"DM-RIS: Deep Multimodel Rail Inspection System with Improved MRF-GMM and CNN","volume":"69","author":"Jin","year":"2020","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"152161","DOI":"10.1109\/ACCESS.2020.3017691","article-title":"Change Detection: The Framework of Visual Inspection System for Railway Plug Defects","volume":"8","author":"Du","year":"2020","journal-title":"IEEE Access"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"61973","DOI":"10.1109\/ACCESS.2020.2984264","article-title":"Multi-Target Defect Identification for Railway Track Line Based on Image Processing and Improved YOLOv3 Model","volume":"8","author":"Wei","year":"2020","journal-title":"IEEE Access"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.icte.2017.11.010","article-title":"Vision based rail track extraction and monitoring through drone imagery","volume":"5","author":"Singh","year":"2019","journal-title":"Ict Express"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"22","DOI":"10.18178\/ijmerr.6.1.22-27","article-title":"A New Computer Vision Based Method for Rail Track Detection and Fault Diagnosis in Railways","volume":"6","author":"Karakose","year":"2017","journal-title":"Int. J. Mech. Eng. Robot. Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/MRA.2005.1577023","article-title":"ViSP for visual servoing: A generic software platform with a wide class of robot control skills","volume":"12","author":"Marchand","year":"2005","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Sivilevi\u010dius, H., Bra\u017ei\u016bnas, J., and Prentkovskis, O. (2017). Technologies and principles of hot recycling and investigation of preheated reclaimed asphalt pavement batching process in an asphalt mixing plant. Appl. Sci., 7.","DOI":"10.3390\/app7111104"},{"key":"ref_32","unstructured":"(2020, December 28). EN13848-2:2006. Railway Applications. Track. Track Geometry Quality. Measuring Systems. Track Recording Vehicles. Available online: https:\/\/standards.iteh.ai\/catalog\/standards\/cen\/d895cf43-a559-42c5-b91a-98a50c1fb131\/en-13848-2-2006."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/4\/1297\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:23:02Z","timestamp":1760160182000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/4\/1297"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,11]]},"references-count":32,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["s21041297"],"URL":"https:\/\/doi.org\/10.3390\/s21041297","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,11]]}}}