Closed carlostojal closed 4 months ago
Currently I have used Lidar sensor to obtain the occupancy grid. But I still expect for a better choice.
It depends on the data you need. With the Semantic LIDAR, you get the semantic tag (house, ground, road, ...) and index of the object. https://carla.readthedocs.io/en/latest/ref_sensors/#semantic-lidar-sensor
For the camera, there exists a semantic version, too. https://carla.readthedocs.io/en/latest/ref_sensors/#semantic-segmentation-camera
What kind of data do you need for your occupancy grid?
It depends on the data you need. With the Semantic LIDAR, you get the semantic tag (house, ground, road, ...) and index of the object. https://carla.readthedocs.io/en/latest/ref_sensors/#semantic-lidar-sensor
For the camera, there exists a semantic version, too. https://carla.readthedocs.io/en/latest/ref_sensors/#semantic-segmentation-camera
What kind of data do you need for your occupancy grid?
In this case, I only need a probability of whether voxels are occupied or not. It is doable from the point cloud, but I opened the issue in the hope of existing a direct way of obtaining it without the need to do the post-processing myself. Thanks for the insights anyway :)
hello, what is the issue that is to be fixed ??
please close it, thank you will ir be alright to ask any questions after closing the issue ??
On Fri, 3 May 2024 at 18:12, Marcel Pi @.***> wrote:
Hi,
Should I close this issue? Or do you still need help with this?
Marcel
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Hi. I am developing a project that needs the ground truth occupancy grid of the map (either 2D or 3D, preferably the latter), but I couldn't find any documentation regarding that. Does anyone know how can this be achieved? Thanks in advance.