cff-version: 1.2.0 abstract: "

The RaDelft dataset is a novel, large-scale, real-life, and multi-sensor dataset that has been recorded using a demonstrator vehicle in different locations in the city of Delft. It contains data from a lidar, an imaging radar board, a camera, and the ego vehicle’s odometry. Check the reference paper for more details about the data collection and the sensors' setup.


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" authors: - family-names: Roldan given-names: Ignacio orcid: "https://orcid.org/0000-0003-1862-7963" - family-names: Pálffy given-names: András orcid: "https://orcid.org/0000-0003-1663-4967" - family-names: yuan given-names: sen orcid: "https://orcid.org/0000-0003-0175-6662" - family-names: Zhu given-names: Simin orcid: "https://orcid.org/0000-0003-0092-9082" - family-names: Fioranelli given-names: Francesco orcid: "https://orcid.org/0000-0001-8254-8093" - family-names: Gavrila given-names: Dariu orcid: "https://orcid.org/0000-0002-1810-4196" - family-names: Kooij given-names: Julian F. P. orcid: "https://orcid.org/0000-0001-9919-0710" - family-names: Yarovoy given-names: Alexander title: "RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset" keywords: version: 2 identifiers: - type: doi value: 10.4121/4e277430-e562-4a7a-adfe-30b58d9a5f0a.v2 license: Restrictive Licence date-released: 2024-06-10