Comments (1)
BETA_V0 LiDARS:
• One 40-beam roof LiDAR and two 40-beam bumper LiDARs.
• Each LiDAR has an azimuth resolution of 0.2 degrees.
• All three LiDARs jointly produce ~216,000 points at 10 Hz.
• The firing directions of all LiDARs are synchronized to be the same at any given time.
BETA_V0 Cameras:
• Six wide-field-of-view (WFOV) cameras uniformly cover 360 degrees field of view (FOV). Each camera has a resolution of 1224x1024 and a FOV of 70°x60°.
• One long-focal-length camera is mounted slightly pointing up primarily for detecting traffic lights. The camera has a resolution of 2048x864 and a FOV of 35°x15°.
• Every camera is synchronized with the LiDAR such that the LiDAR beam is at the center of the camera's field of view when the camera is capturing an image.
BETA_PLUS_PLUS LiDARS:
• The only difference in LiDARs between Beta-V0 and Beta++ is the roof LiDAR, which is 64-beam for Beta++.
• The synchronization of the LiDARs is the same as Beta-V0.
BETA_PLUS_PLUS Cameras:
• Six wide-field-of-view (WFOV) high dynamic range cameras uniformly cover 360 degrees field of view (FOV). Each camera has a resolution of 1920x1080 and a FOV of 82°x52°.
• One long-focal-length camera is mounted slightly pointing up primarily for detecting traffic lights. The camera has a resolution of 1920x1080 and a FOV of 27°x17°.
• Every camera is synchronized with the LiDAR such that the LiDAR beam is at the center of the camera's field of view when the camera is capturing an image.
from nuscenes-devkit.
Related Issues (20)
- The dataset is not available because the download link is 404 HOT 2
- How many annotated scenes do you have?
- TypeError: rotate() takes 1 positional argument but 2 were given
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- Range-sensor data
- Bug in data_classes?
- As the Kaggle competition is concluded. Any plans on releasing Ground truth for public test data ?
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- Invalid lidar file for exporting to kitti HOT 5
- Info about LiDAR sensors
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- cannot connect to X server
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- Map expansion
- Transformation of vehicle data from global to sensor coordinate is not matching as given in the data set
- is there any scene image in nuScenes dataset?
- `pytest` is an "optional" extra but also in `REQUIRED`?
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from nuscenes-devkit.