{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T02:14:20Z","timestamp":1767838460575,"version":"3.49.0"},"reference-count":18,"publisher":"ASME International","issue":"1","funder":[{"DOI":"10.13039\/501100002822","name":"Fundamental Research Funds for the Central Universities of Central South University","doi-asserted-by":"publisher","award":["2019zzts539"],"award-info":[{"award-number":["2019zzts539"]}],"id":[{"id":"10.13039\/501100002822","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51605495"],"award-info":[{"award-number":["51605495"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2018JJ3663"],"award-info":[{"award-number":["2018JJ3663"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["asmedigitalcollection.asme.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The accuracy of rail profile inspections is critical for guaranteeing transport security and rail maintenance, and hence, the laser-based rail profile inspection has frequently been used. However, there are two major challenges in practical applications: the distortion of the measured rail profile and the influences of noise and outliers. In this paper, the sparse scaling iterative closest point method is proposed for rail profile inspection. First, the existing challenges for processing the measured rail profile via a line laser sensor are generally described. After this, a robust registration energy function that evolves both the scale factor and the lp norm is proposed for rail profile registration. Finally, the Hausdorff distance is adopted to visualize the matching results. The experiments indicate that the proposed method can both precisely rectify the distorted rail profile and avoid the influences of noise and outliers when compared with the conventional iterative closest point, sparse iterative closest point, and reweighted-scaling closest point methods.<\/jats:p>","DOI":"10.1115\/1.4044319","type":"journal-article","created":{"date-parts":[[2019,7,24]],"date-time":"2019-07-24T16:30:28Z","timestamp":1563985828000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":9,"title":["Sparse Scaling Iterative Closest Point for Rail Profile Inspection"],"prefix":"10.1115","volume":"20","author":[{"given":"Yue","family":"Yang","sequence":"first","affiliation":[{"name":"Central South University, Changsha 410075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Liu","sequence":"additional","affiliation":[{"name":"Central South University, Changsha 410075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miaocheng","family":"Li","sequence":"additional","affiliation":[{"name":"Central South University, Changsha 410075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guang","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhengzhou Railway Vocational & Technical College, Zhengzhou 450000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Yi","sequence":"additional","affiliation":[{"name":"Central South University, Changsha 410075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"33","published-online":{"date-parts":[[2019,9,10]]},"reference":[{"key":"2019110410334850900_CIT0001","doi-asserted-by":"crossref","first-page":"57267","DOI":"10.1109\/ACCESS.2018.2873903","article-title":"An Accurate and Fast Method to Inspect Rail Wear Based on Revised Global Registration","volume":"6","author":"Yang","year":"2018","journal-title":"IEEE Access"},{"issue":"10","key":"2019110410334850900_CIT0002","first-page":"2458","article-title":"Novel Method for Rail Wear Inspection Based on Sparse Iterative Closest Point Method","volume":"24","author":"Yi","year":"2017","journal-title":"Meas. 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