Brno Urban Dataset: Winter Extension

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dc.contributor.authorLigocki, Adamcs
dc.contributor.authorJelínek, Alešcs
dc.contributor.authorŽalud, Luděkcs
dc.coverage.issue1cs
dc.coverage.volume40cs
dc.date.accessioned2022-03-07T08:56:21Z
dc.date.available2022-03-07T08:56:21Z
dc.date.issued2022-01-01cs
dc.description.abstractThis paper presents our latest extension of the Brno Urban Dataset (BUD), the Winter Extension (WE). The dataset contains data from commonly used sensors in the automotive industry, like four RGB and single IR cameras, three 3D LiDARs, differential RTK GNSS receiver with heading estimation, the IMU and FMCW radar. Data from all sensors are precisely timestamped for future offline interpretation and data fusion. The most significant gain of the dataset is the focus on the winter conditions in snow-covered environments. Only a few public datasets deal with these kinds of conditions. We recorded the dataset during February 2021 in Brno, Czechia, when fresh snow covers the entire city and the surrounding countryside. The dataset contains situations from the city center, suburbs, highways as well as the countryside. Overall, the new extension adds three hours of real-life traffic situations from the mid-size city to the existing 10 h of original records. Additionally, we provide the precalculated YOLO neural network object detection annotations for all five cameras for the entire old data and the new ones. The dataset is suitable for developing mapping and navigation algorithms as well as the collision and object detection pipelines. The entire dataset is available as open-source under the MIT license.en
dc.formattextcs
dc.format.extent1-10cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationData in Brief (Online). 2022, vol. 40, issue 1, p. 1-10.en
dc.identifier.doi10.1016/j.dib.2021.107667cs
dc.identifier.issn2352-3409cs
dc.identifier.other172878cs
dc.identifier.urihttp://hdl.handle.net/11012/203950
dc.language.isoencs
dc.publisherElseviercs
dc.relation"European Union (EU)" & "Horizon 2020"en
dc.relation.ispartofData in Brief (Online)cs
dc.relation.projectIdinfo:eu-repo/grantAgreement/EC/H2020/877539/EU//ArchitectECA2030en
dc.relation.projectIdinfo:eu-repo/grantAgreement/EC/H2020/857306/EU//RICAIPen
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2352340921009422cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2352-3409/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectMultimodal dataseten
dc.subjectNavigation dataen
dc.subjectRGB cameraen
dc.subjectIR cameraen
dc.subject3D LiDARen
dc.subjectRTK GNSSen
dc.subjectIMUen
dc.subjectNeural networksen
dc.titleBrno Urban Dataset: Winter Extensionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-172878en
sync.item.dbtypeVAVen
sync.item.insts2022.11.16 16:54:59en
sync.item.modts2022.11.16 16:15:59en
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Kybernetika a robotikacs
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs
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