{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,28]],"date-time":"2025-12-28T17:31:59Z","timestamp":1766943119593,"version":"3.41.2"},"reference-count":19,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T00:00:00Z","timestamp":1558310400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IR"],"published-print":{"date-parts":[[2019,5,20]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>As an automatic welding process may experience some disturbances caused by, for example, splashes and\/or welding fumes, misalignments\/poor positioning, thermally induced deformations, strong arc lights and diversified welding joints\/grooves, precisely identifying the welding seam has a great influence on the welding quality. This paper aims to propose a robust method for identifying this seam based on cross-modal perception.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>First, after a welding image obtained from a structured-light vision sensor (here laser and vision are integrated into a cross-modal perception sensor) is filtered, in a sufficiently small area, the extended Kalman filter is used to prevent possible disturbances to search for its laser stripe. Second, to realize the extraction of the profile of welding seam, the least square method is used to fit a sequence of centroids determined by the scanning result of columns displayed on the tracking window. Third, this profile is then qualitatively described and matched using a proposed character string method.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>It is demonstrated that it maintains real time and is clearly superior in terms of accuracy and robustness, though its real-time performance is not the best.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This paper proposes a robust method for automatically identifying and tracking a welding seam.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ir-09-2018-0182","type":"journal-article","created":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T10:06:17Z","timestamp":1556705177000},"page":"453-459","source":"Crossref","is-referenced-by-count":2,"title":["A welding seam identification method based on cross-modal perception"],"prefix":"10.1108","volume":"46","author":[{"given":"Xinde","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Omar","family":"Khyam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangheng","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuzhi Sam","family":"Ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"issue":"2","key":"key2019090415305702700_ref001","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1108\/IR-09-2014-0395","article-title":"Acquisition of welding skills in industrial robots","volume":"42","year":"2015","journal-title":"Industrial Robot: An International Journal"},{"issue":"1\/4","key":"key2019090415305702700_ref002","first-page":"91","article-title":"Multisensor information fusion of pulsed GTAW based on improved DS evidence theory","volume":"71","year":"2014","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"9\/12","key":"key2019090415305702700_ref003","first-page":"1741","article-title":"The decoupling visual feature extraction of dynamic three-dimensional V-type seam for gantry welding robot","volume":"80","year":"2015","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"4","key":"key2019090415305702700_ref004","doi-asserted-by":"crossref","first-page":"3345","DOI":"10.1007\/s10586-017-1084-0","article-title":"Design of integrated neural network model for weld seam tracking and penetration monitoring","volume":"20","year":"2017","journal-title":"Cluster Computing"},{"issue":"9","key":"key2019090415305702700_ref005","doi-asserted-by":"crossref","first-page":"2596","DOI":"10.1109\/78.782219","article-title":"Robust extended Kalman filtering","volume":"47","year":"1999","journal-title":"IEEE Transactions on Signal Processing"},{"key":"key2019090415305702700_ref006","first-page":"1236","article-title":"Robust laser-stripe sensor for automated weld-seam-tracking in the shipbuilding industry","volume-title":"IECON\u201998, Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. 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