TY - DATA T1 - RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset PY - 2024/05/28 AU - Ignacio Roldan AU - András Pálffy AU - sen yuan AU - Simin Zhu AU - Francesco Fioranelli AU - Dariu Gavrila AU - Julian F. P. Kooij AU - Alexander Yarovoy UR - DO - 10.4121/4e277430-e562-4a7a-adfe-30b58d9a5f0a.v1 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.
To request access, use the following link:
https://docs.google.com/forms/d/1whyNTiAsZ4l0ENwFiut4yb3FzF3yPjKCdH42OMTlaEk/