Comments (4)
My lab also created Unlimited Road-scene Synthetic Annotation (URSA) Dataset. I think this is similar to what you're looking for, check it out here: https://uwaterloo.ca/waterloo-intelligent-systems-engineering-lab/ursa
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Thanks for your response! There appears to be no lidar point clouds in this Dataset.
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Similiar question in point cloud semantic segmentation.
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This repo can determine the points belonging to specific objects. Past that detail it would require significant work to be merged with a semantic segmentation method for GTAV. If you merge this repo with a method which does semantic segmentation for images, then you will be able to easily obtain semantic segmentation for the pointclouds since the PreSIL LiDAR is generated from the depth map (thus you will already have the image pixel for the 3D point).
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Related Issues (20)
- Received message does not have key 'index'
- CORE: An exception occurred while executing 'DeepGTAV.asi' (0x00007FF8AA25BC80), id 33 HOT 1
- Depth in PSIL(Precise Synthetic Image and LiDAR) HOT 1
- Problem in Public Available Data HOT 3
- Connection Problem HOT 5
- Question about GT_pose and Entity_ID HOT 1
- Error loading paths.xml file in LaneRewarder HOT 3
- What is the use of Secondary Perspectives? HOT 1
- LiDAR FoV HOT 1
- LiDAR plane and ground plane mismatch HOT 1
- Can I get the complete semantic segmentation maps? HOT 1
- Version problem
- The pre-generated data link is broken. HOT 1
- Obtaining paths.xml HOT 5
- Problem with rebuilt DeepGTAV.asi HOT 1
- Person Headpose HOT 1
- Can we modify the physical model in GTA V by ourselfves?
- How to get the occlusion of the object from image data
- I wonder which part means the radiation speed.
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