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# EX Deriving LiDAR products | Upscaling Biodiversity
Exercise: LiDAR products In this exercise we want to derive the most common LiDAR products DTM (Digital Terrain Model), DSM (Digital Surface Mod…
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Could you explain why the point cloud in Figure 1 of the paper looks like that?
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Hi, Please advise how can we take the base segmentation labels available as LaserSegmentationRangeImage and convert to 3D point cloud format to be used with 3D point cloud derived from the lidar range…
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Great work!
Why does street-gs need colmap since you use pose from original dataset as mentioned in [issue4](https://github.com/zju3dv/street_gaussians/issues/4) ?
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Dear all,
I am using DGCNN to classify LiDAR pointClouds. I have trained the model using ModelNet40 train data(2048 XYZ points, 250 epochs) and results are good when I try to classify objects using…
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Hello,
I have been trying out this project for a while and have recently managed to work through many issues to achieve a desirable output. After many days of training with different seed values, I h…
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Hi,
First of all, thank you so much for creating a clean lidar-based SLAM feature that does not rely on IMU dependencies. I am runing lidar slam on a campus driving dataset. There are two things I fo…
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Hi just curious if was possible for NVIDIA_ISAAC-ROS to use a point cloud generated from stereo cameras and what would be their equivalent params lidar_width, lidar_height, and lidar_vertical_fov_rad…