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ChongjianYUAN committed Mar 1, 2022
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# VoxelMap
## Introduction
**VoxelMap** is an efficient and probabilistic adaptive(coarse-to-fine) voxel mapping method for 3D LiDAR. Unlike the point cloud map, VoxelMap uses planes as representation units. A scan of LiDAR data will generate or update the plane. Each plane contains its own plane parameters and uncertainties that need to be estimated. This repo shows how to integrate VoxelMap into a LiDAR(-Inertial) odometry.

<div align="center">
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<font color=#a0a0a0 size=2>The plane map constructed by VoxelMap in the mountain environment with Livox Avia LiDAR.</font>
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## Developers: [Chongjian Yuan 袁崇健](https://github.com/ChongjianYUAN)[Wei Xu 徐威](https://github.com/XW-HKU)
### Developers:
[Chongjian Yuan 袁崇健](https://github.com/ChongjianYUAN)[Wei Xu 徐威](https://github.com/XW-HKU)


## Related paper
### Related paper
Related paper available on **arxiv**:
[Efficient and Probabilistic Adaptive Voxel Mapping for Accurate Online LiDAR Odometry](https://arxiv.org/abs/2109.07082)

## Related video
### Related video
Our accompanying videos are now available on **YouTube**.
<div align="center">
<a href="https://youtu.be/HSwQdXg31WM" target="_blank">
<img src="pics/video_cover.png" width=60% />
</div>

## Codes & Datasets
Our paper is currently under review, and our code will be released after the first round of review if the reviewer's comments are positive.

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