Comments (2)
Hi, thanks for your interest!
We have evaluated our method on various Lidar sensors:
- KITTI odometry dataset: Velodyne HDL-64E
- MulRan dataset: Ouster-64
- ALITA dataset: Velodyne VLP-16
Our method is independent on the LiDAR sensor used. As long as the LiDAR scans/submaps generated are have sufficient range and density to capture the structural details of the environment you should be able to adapt our method to the sensor.
Let me know if you need more details.
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Got it! Thanks for your kind response
from logg3d-net.
Related Issues (8)
- How to launch code with PointNetVlad model? HOT 2
- Error SparseTensor during PointNetVLAD training HOT 3
- error when batch size larger than one HOT 9
- Issues with training KITTI datset HOT 7
- Train on a custom dataset HOT 2
- Channel value error when applying the checkpoint model to a custom point cloud HOT 2
- about visualization of t-SNE embeddings of the local features HOT 6
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