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The links below are to customers and partners who have published Radar datasets.

  • Oxford Radar RobotCar Dataset
    The Oxford Radar RobotCar Dataset provides data from a Navtech radar and companion sensors with optimised ground truth radar odometry for 280 km of driving around Oxford, UK

  • Heriot-Watt RADIATE Dataset
    RADIATE (RAdar Dataset In Adverse weaThEr) is a high-resolution radar dataset which includes about 3 hours annotated radar images and more than 200K labelled instances on public roads.

  • MulRan
    Multimodal (Radar & LiDAR) Range Dataset for Urban Place Recognition - a dataset namely for radio detection and ranging (radar) and light detection and ranging (LiDAR) specifically targeting the urban environment. This dataset focuses on the range sensor-based place recognition and provides 6D baseline trajectories of a vehicle for place recognition ground truth. Provided radar data support both raw-level and image-format data, including a set of time-stamped 1D intensity arrays and 360° polar images, respectively. In doing so, we provide flexibility between raw data and image data depending on the purpose of the research.

  • Radar-LiDAR Dataset - dgbicra2019-radar-lidar
    Radar - LiDAR dataset provides radar data with the baseline trajectory of a vehicle for evaluation together with a 3D LiDAR point cloud as prior information.
    Unlike existing radar datasets, the provided radar data support both raw-level and image format data, including 360º cumulated 1D intensity arrays with time stamps and 360º polar images.

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