%0 Generic %A Roldan, Ignacio %A Pálffy, András %A yuan, sen %A Zhu, Simin %A Fioranelli, Francesco %A Gavrila, Dariu %A Kooij, Julian F. P. %A Yarovoy, Alexander %D 2024 %T RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset %U %R 10.4121/4e277430-e562-4a7a-adfe-30b58d9a5f0a.v2 %K Autonomous Vehicles %K Automotive Radar %K Imaging Radar %X
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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