nuScenes/KITTI / Lyft

FSA·2023년 7월 5일
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Object detection

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6/23

nuScenes

  • 6x camera (Basler acA1600-60gc):
    • 12Hz capture frequency
  • Evetar Lens N118B05518W F1.8 f5.5mm 1/1.8"
  • 1/1.8'' CMOS sensor of 1600x1200 resolution
  • Bayer8 format for 1 byte per pixel encoding
  • 1600x900 ROI is cropped from the original resolution to reduce processing and transmission bandwidth
  • Auto exposure with exposure time limited to the maximum of 20 ms
  • Images are unpacked to BGR format and compressed to JPEG

KITTI

  • 2 Grayscale cameras, 1.4 Megapixels: Point Grey Flea 2 (FL2-14S3M-C)

  • 2 Color cameras, 1.4 Megapixels: Point Grey Flea 2 (FL2-14S3C-C)

Lyft

  • Dataset camera images are 1920x1280, which is equivalent to Ultra HD resolution and a horizontal field of view (HFOV) of +-25.2 degree.
  • 2D bounding box labels in the camera images.
  • The camera labels are tight-fitting, axis-aligned 2D bounding boxes with globally unique tracking IDs.
  • The bounding boxes cover only the visible parts of the objects.
  • The following objects have 2D labels: vehicles, pedestrians, cyclists.
  • Waymo do not provide object track correspondences across cameras.
  • Trains and trams are not considered vehicles and are not labeled. Motorcycles and motorcyclists are labeled as vehicles.
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