{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T15:47:12Z","timestamp":1781884032693,"version":"3.54.5"},"reference-count":64,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T00:00:00Z","timestamp":1597190400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Improving performance and safety conditions in industrial sites remains a key objective for most companies. Currently, the main goal is to be able to dynamically locate both people and goods on the site. Security and access regulation to restricted areas are often ensured by doors or badge barriers and those have several issues when faced with people being in places they are not supposed to be in or even tools of objects being used incorrectly. In addition to this, a growing use of new devices requires precise information about their location in the environment such as mobile robots or drones. Therefore, it is becoming essential to have the tools to dynamically manage these flows of people and goods. Ultra-wide-band and motion capture solutions will be used to quickly identify people who may be in unauthorized areas or performing tasks which they have been uninstructed to do. In addition to the dynamic tracking of people, this also overcomes some issues associated with moving objects or tools around the production floor. We offer a new set of data that provides precise information on worker movement. This dataset can be used to develop new metrics regarding worker efficiency and safety.<\/jats:p>","DOI":"10.3390\/s20164511","type":"journal-article","created":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T09:14:49Z","timestamp":1597223689000},"page":"4511","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["A New Dataset of People Flow in an Industrial Site with UWB and Motion Capture Systems"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0119-2326","authenticated-orcid":false,"given":"Mickael","family":"Delamare","sequence":"first","affiliation":[{"name":"Normandie Univercity, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France"},{"name":"SIAtech SAS, 73 Rue Martainville, 76000 Rouen, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8825-9321","authenticated-orcid":false,"given":"Fabrice","family":"Duval","sequence":"additional","affiliation":[{"name":"Normandie Univercity, UNIROUEN, CESI, LINEAC, 76000 Rouen, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1078-5043","authenticated-orcid":false,"given":"Remi","family":"Boutteau","sequence":"additional","affiliation":[{"name":"Normandie Univercity, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,8,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"77","DOI":"10.3991\/ijim.v11i5.7072","article-title":"Industry 4.0 concept: Background and overview","volume":"11","author":"Rojko","year":"2017","journal-title":"Int. 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