{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T18:20:40Z","timestamp":1775326840127,"version":"3.50.1"},"reference-count":37,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2022,11,19]],"date-time":"2022-11-19T00:00:00Z","timestamp":1668816000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union\u2019s Horizon 2020 research and innovation programme","award":["769255"],"award-info":[{"award-number":["769255"]}]},{"name":"European Union\u2019s Horizon 2020 research and innovation programme","award":["PID2019-105221RB-C43"],"award-info":[{"award-number":["PID2019-105221RB-C43"]}]},{"name":"European Union\u2019s Horizon 2020 research and innovation programme","award":["FJC2018-035550-I"],"award-info":[{"award-number":["FJC2018-035550-I"]}]},{"name":"Spanish Ministry of Science and Innovation","award":["769255"],"award-info":[{"award-number":["769255"]}]},{"name":"Spanish Ministry of Science and Innovation","award":["PID2019-105221RB-C43"],"award-info":[{"award-number":["PID2019-105221RB-C43"]}]},{"name":"Spanish Ministry of Science and Innovation","award":["FJC2018-035550-I"],"award-info":[{"award-number":["FJC2018-035550-I"]}]},{"name":"MCIN\/AEI\/10.13039\/501100011033","award":["769255"],"award-info":[{"award-number":["769255"]}]},{"name":"MCIN\/AEI\/10.13039\/501100011033","award":["PID2019-105221RB-C43"],"award-info":[{"award-number":["PID2019-105221RB-C43"]}]},{"name":"MCIN\/AEI\/10.13039\/501100011033","award":["FJC2018-035550-I"],"award-info":[{"award-number":["FJC2018-035550-I"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Road condition monitoring plays a critical role in transportation infrastructure maintenance and traffic safety assurance. This research introduces a methodology to detect cracks on pavement point clouds acquired with Mobile Laser Scanning systems, which offer more versatility and comprehensive information about the road environment than other specific surveying systems (i.e., profilometers, 3D cameras). The methodology comprises the following steps: (1) Road segmentation; (2) the detection of candidate crack points in individual scanning lines of the point cloud, based on point elevation; (3) crack point clustering via a region-growing algorithm; and (4) crack geometrical attributes extraction. Both the profile evaluation and the region-growing clustering algorithms have been developed from scratch to detect cracks directly from 3D point clouds instead of using raster data or Geo-Referenced Feature images, offering a quick and effective pre-rating tool for pavement condition assessment. Crack detection is validated with data from damaged roads in Portugal.<\/jats:p>","DOI":"10.3390\/rs14225866","type":"journal-article","created":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T04:33:32Z","timestamp":1669005212000},"page":"5866","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Pavement Crack Detection and Clustering via Region-Growing Algorithm from 3D MLS Point Clouds"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9733-7683","authenticated-orcid":false,"given":"Pablo","family":"del R\u00edo-Barral","sequence":"first","affiliation":[{"name":"GeoTECH Group, CINTECX, Campus Universitario de Vigo, Universidade de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6545-2225","authenticated-orcid":false,"given":"Mario","family":"Soil\u00e1n","sequence":"additional","affiliation":[{"name":"Department of Cartographic and Terrain Engineering, University of Salamanca, Calle Hornos Caleros 50, 05003 Avila, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0381-0856","authenticated-orcid":false,"given":"Silvia Mar\u00eda","family":"Gonz\u00e1lez-Collazo","sequence":"additional","affiliation":[{"name":"GeoTECH Group, CINTECX, Campus Universitario de Vigo, Universidade de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3547-8907","authenticated-orcid":false,"given":"Pedro","family":"Arias","sequence":"additional","affiliation":[{"name":"GeoTECH Group, CINTECX, Campus Universitario de Vigo, Universidade de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,19]]},"reference":[{"key":"ref_1","unstructured":"Lebrecht Koch, D. 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