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Hi, I visualised couple of scenes from the dataset, and it looks like the position of 3D bounding boxes (BB) do not match the cars in image view quite often.
Some frames from the dataset:
In some frames the boxes do match the cars but then it slowly accumulates a negative offset along the Y axis, or "lag behinds" the car in cam view. This quirk makes the dataset unusable for camera only algorithms.
My question here would be:
- Is this expected ? I did verify that I am using the poses correctly, otherwise the boxes wont be accurate even occasionally.
- Is this behaviour because the BB were labelled in lidar PC sparsely on some frames and then interpolated ? This might explain why the box positions seem to be correct in some frames but not in many.
- Were the labelling done for every couple of frames, if yes, and if only those frames look better i would like to know a way to use only those for training and evaluation.
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