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SimBEV

홈페이지 · 논문 1편

The SimBEV dataset is a collection of 320 scenes spread across all 11 CARLA maps and contains data from a variety of sensors, including five camera types (RGB, semantic segmentation, instance segmentation, depth, and optical flow), lidar, semantic lidar, radar, GNSS, and IMU, along with 3D object bounding boxes and accurate bird's-eye view (BEV) ground truth. With each scene lasting 16 seconds at a frame rate of 20 Hz, the SimBEV dataset contains 102,400 annotated frames, over 8 million 3D object bounding boxes, and more than 2.5 billion BEV ground truth labels.

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벤치마크

3D Object Detection on SimBEV 결과 30개
Bird's-Eye View Semantic Segmentation on SimBEV 결과 15개
BEV Segmentation on SimBEV 결과 5개