TY - DATA T1 - RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset PY - 2024/10/16 AU - Ignacio Roldan AU - András Pálffy AU - sen yuan AU - Simin Zhu AU - Mario Garzon Oviedo AU - Botao Sun AU - Francesco Fioranelli AU - Dariu Gavrila AU - Julian F. P. Kooij AU - Alexander Yarovoy UR - DO - 10.4121/4e277430-e562-4a7a-adfe-30b58d9a5f0a.v5 KW - Autonomous Vehicles KW - Automotive Radar KW - Imaging Radar N2 -

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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