{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T00:47:08Z","timestamp":1775695628097,"version":"3.50.1"},"reference-count":36,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2020,12,13]],"date-time":"2020-12-13T00:00:00Z","timestamp":1607817600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007273","name":"Comisi\u00f3n Interministerial de Ciencia y Tecnolog\u00eda","doi-asserted-by":"publisher","award":["TRA2016-78886-C3-1-R"],"award-info":[{"award-number":["TRA2016-78886-C3-1-R"]}],"id":[{"id":"10.13039\/501100007273","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007273","name":"Comisi\u00f3n Interministerial de Ciencia y Tecnolog\u00eda","doi-asserted-by":"publisher","award":["TRA2016-78886-C3-2-R"],"award-info":[{"award-number":["TRA2016-78886-C3-2-R"]}],"id":[{"id":"10.13039\/501100007273","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012818","name":"Comunidad de Madrid","doi-asserted-by":"publisher","award":["SEGAVUTO-4.0-CM"],"award-info":[{"award-number":["SEGAVUTO-4.0-CM"]}],"id":[{"id":"10.13039\/100012818","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006318","name":"Universidad Carlos III de Madrid","doi-asserted-by":"publisher","award":["PEAVAUTO-CM-UC3M"],"award-info":[{"award-number":["PEAVAUTO-CM-UC3M"]}],"id":[{"id":"10.13039\/501100006318","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A proper driver characterization in complex environments using computational techniques depends on the richness and variety of data obtained from naturalistic driving. The present article proposes the construction of a dataset from naturalistic driving specific to maneuvers in roundabouts and makes it open and available to the scientific community for performing their own studies. The dataset is a combination of data gathered from on-board instrumentation and data obtained from the post-processing of maps as well as recorded videos. The approach proposed in this paper consists of handling roundabouts as a stretch of road that includes 100 m before the entrance, the internal part, and 100 m after the exit. This stretch of road is then spatially sampled in small sections to which data are associated.<\/jats:p>","DOI":"10.3390\/s20247151","type":"journal-article","created":{"date-parts":[[2020,12,13]],"date-time":"2020-12-13T23:39:36Z","timestamp":1607902776000},"page":"7151","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Dataset Construction from Naturalistic Driving in Roundabouts"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4687-9180","authenticated-orcid":false,"given":"Laura","family":"Garc\u00eda Cuenca","sequence":"first","affiliation":[{"name":"Science, Computing and Technologies, Universidad Europea de Madrid, Calle Tajo s\/n, Villaviciosa de Odon, 28670 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1300-3879","authenticated-orcid":false,"given":"Carlos","family":"Guindel","sequence":"additional","affiliation":[{"name":"Intelligent Systems Lab (LSI), Universidad Carlos III de Madrid, Av. Universidad 30, 28911 Legan\u00e9s, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7739-881X","authenticated-orcid":false,"given":"Nourdine","family":"Aliane","sequence":"additional","affiliation":[{"name":"Industrial System and Aerospace Engineering, Universidad Europea de Madrid, Calle Tajo s\/n, Villaviciosa de Odon, 28670 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3353-9956","authenticated-orcid":false,"given":"Jos\u00e9 Mar\u00eda","family":"Armingol","sequence":"additional","affiliation":[{"name":"Intelligent Systems Lab (LSI), Universidad Carlos III de Madrid, Av. 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