RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset



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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Date made available28 May 2024
PublisherTU Delft - 4TU.ResearchData
Date of data production2024 -

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