Comments (1)
- [0, 0, 0] refers to the "ego vehicle body frame". That is a point in the center of the rear axle (where the IMU is located). Hence it is neither the location of the lidar nor the center of the bounding box (which could sometimes be inaccurate).
- Please refer to the schema. Translation is stored as [x, y, z], sizes are stored as [w, l, h]. z is pointing up here, x and y correspond to lat and lon in the map. Units are meters.
- To see the different coordinate frames, refer to the figure at: https://www.nuscenes.org/data-collection . In practice it is often easier to use our provided code rather than figuring it out for yourself. E.g. here is the function that loads annotations and transforms them into the specified sensor coordinate frame.
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Related Issues (20)
- About sample['anns'] HOT 3
- about render_egoposes_on_map HOT 4
- translation matrix for camera sensors is with respect to the center of the rear axle? HOT 2
- How the point cloud semantically segmented file is encoded? HOT 1
- Problem with NuScenes format to KITTI format HOT 1
- Conert radar to lidar problems HOT 3
- Is 1000hz imu data available? HOT 1
- How to create and split NuScenes subsets into trainval and test like v1.0 HOT 4
- The number of points is inconsistent with the number of labels HOT 4
- Is there C++ version to read the data HOT 1
- Rotation problem of point cloud object detection HOT 2
- Alignment of multi-frame radar dynamic object data HOT 4
- When v1.1.13 will be released in PyPI ? HOT 2
- pip install failed HOT 5
- nuScenes-lidar Annotation file HOT 1
- Navigation. How can I get waypoints from (x1,y1) to (x2 y2) in nuscenes map HOT 5
- Cannot download anything HOT 6
- how does the start angle and end angle of the lidar to project to the image with the moving object HOT 1
- can_bus assignment to key frames? HOT 1
- why is the steering angle so big? HOT 3
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