V2V4Real is a large-scale real-world multi-modal dataset for V2V perception. The data is collected by two vehicles equipped with multi modal sensors driving together through diverse scenarios. It covers a driving area of 410 km comprising 20K LiDAR frames, 40K RGB frames, 240K annotated 3D bounding boxes for 5 classes, and HDMaps that cover all the driving routes.
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LiDAR-CS is a dataset for 3D object detection in real traffic. It contains 84,000 point cloud frames under 6 groups of different sensors but with same corresponding scenarios, captured from hybrid realistic LivDAR simulator.
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