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RADIATE

RAdar Dataset In Adverse weaThEr

홈페이지 · 논문 24편

RADIATE (RAdar Dataset In Adverse weaThEr) is new automotive dataset created by Heriot-Watt University which includes Radar, Lidar, Stereo Camera and GPS/IMU. The data is collected in different weather scenarios (sunny, overcast, night, fog, rain and snow) to help the research community to develop new methods of vehicle perception. The radar images are annotated in 7 different scenarios: Sunny (Parked), Sunny/Overcast (Urban), Overcast (Motorway), Night (Motorway), Rain (Suburban), Fog (Suburban) and Snow (Suburban). The dataset contains 8 different types of objects (car, van, truck, bus, motorbike, bicycle, pedestrian and group of pedestrians). Source: https://github.com/marcelsheeny/radiate_sdk Image Source: https://github.com/marcelsheeny/radiate_sdk

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벤치마크

Multiple Object Tracking on RADIATE 결과 6개
2D Object Detection on RADIATE 결과 2개