Closed dorn-gerhard closed 1 year ago
@dorn-gerhard if a lidar measurement does not have a return, there would not be any point to label in the first place
Thus, it is not clear how you are inferring that
invalid data (e.g. measurements which did not return) by labelling them with 31 (ego_vehicle)
Hi, I examined that some frames have bad (wrong) lidar annotations regarding measurement points, which are invalid (for instance the laser beam didn't come back as for very remote targets or when hitting very reflective surfaces such as car windows.
The NuScene data set is dealing with invalid data (e.g. measurements which did not return) by labelling them with 31 (ego_vehicle). In fact points belonging to those invalid measurements have a radius close to zero.
Here is an example from "scene-1073", sample 4:
From the image it is clear, that in the upper part lidar is shooting in the sky black spots. The labels here should not be vegetation but Ego vehicle (or the class corresponding to invalid data).
This is sample 1 of the same scene, providing a correct (consistent) annotation Note that the radii of non-valid points (ego_vehicle) are not scaled down to 10^-5 in this sample