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. To request access, use the following link:https://docs.google.com/forms/d/1whyNTiAsZ4l0ENwFiut4yb3FzF3yPjKCdH42OMTlaEk/