Comments (3)
Hello @ZZy129326999, We store one-dimensional feature vectors rather than raw points in our grids. The input points serve as training data to supervise the optimization of our map and they are not stored in any special data structure.
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Hello @ZZy129326999, We store one-dimensional feature vectors rather than raw points in our grids. The input points serve as training data to supervise the optimization of our map and they are not stored in any special data structure.
Thanks for your answer. I still have two questions. The first question is whether the incremental construction of octree is reflected in the normalized point box of each frame. Once new raw points appear, a new node will be created under level-0 of octree , but if the point is not deleted in this way, will the gpu video memory keep increasing? Furthermore, will new normalized points appear, will they overwrite the original points, or will the shift point handle this problem, without explicitly updating the octree, and offset the point to simulate the incremental process? The second question is to obtain the corresponding node through the 3D coordinates of the raw points, followed by the morton code, and then the corners?
In a nutshell, when incrementally building a map, once a new point is input, its coordinates will be automatically normalized to [-1,1] to replace the old point, and will continue to increase according to the world coord?
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Oh, I understand, it is the sliding window mode, thank you!
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Related Issues (20)
- Is there any motion distortion in the virtual scan in the Maicity dataset? HOT 1
- Bad result in garage floor. HOT 1
- why are there some extra artifacts in the reconstruction result. HOT 2
- Other dataset config file HOT 1
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- what shuold I do to make this program run all frame on mai_city sequence 00? HOT 2
- Just point cloud, no LiDAR point, Can a map be made? HOT 3
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- semantic loss HOT 2
- Tuning shine HOT 7
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- Weird about the calculation of free space uniform sampling ? HOT 2
- Colored Mesh HOT 3
- how to compute completion? HOT 2
- Noise results testing on the nuScenes dataset HOT 7
- Question on the sdf map HOT 3
- some question about the metric accuracy? HOT 6
- In shine_incre.py, should the surface mask be assigned after weight=torch.abs(weight)? HOT 1
- Problem about the input data. HOT 2
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