RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
Marcel Sheeny Emanuele De Pellegrin Saptarshi Mukherjee Alireza Ahrabian Sen Wang Andrew Wallace Marcel Sheeny Emanuele De Pellegrin Saptarshi Mukherjee Alireza Ahrabian Sen Wang Andrew Wallace
Datasets for autonomous cars are essential for the development and benchmarking of perception systems. However, most existing datasets are captured with camera and LiDAR sensors in good weather conditions. In this paper, we present the RAdar Dataset In Adverse weaThEr (RADIATE), aiming to facilitate research on object detection, tracking and scene understanding using radar sensing for safe autonom...