docs: make Chinese README the default

README.md

@@ -1,32 +1,38 @@
-# UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown
+<!-- WEHUB_ZH_README -->
+> [!NOTE]
+> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。  
+> [English](./README.en.md) · [原始项目](https://github.com/UnknownFreeOccupied/ufomap) · [上游 README](https://github.com/UnknownFreeOccupied/ufomap/blob/HEAD/README.md)  
+> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
 
-UFOMap is an efficient probabilistic 3D mapping framework with an explicit representation of unknown space.
+# UFOMap：拥抱未知空间的高效概率 3D 建图框架
+
+UFOMap 是一个高效的概率 3D 建图（mapping）框架，能够显式表示未知空间。
 
 ![UFOMap visualization](https://user-images.githubusercontent.com/6604166/111369561-7bcabd00-8697-11eb-8145-1409ef9709a0.png)  
-   UFOMap with occupied space as colored voxels and unknown space as white transparent voxels. The free space is not visualized here.
+   UFOMap 将占用空间显示为彩色体素（voxel），未知空间显示为白色半透明体素。此处未可视化自由空间。
 
-Using UFOMap you will be able to create 3D volumetric maps, containing unknown/free/occupied space, similar to the one below in real-time. The UFOMap maps you create can be used for efficient path/trajectory planning, obstacle avoidance, reconstruction, and more.
+使用 UFOMap，你可以实时创建包含未知/自由/占用空间的 3D 体素地图，类似于下方示例。你创建的 UFOMap 地图可用于高效的路径/轨迹规划、避障、重建等应用。
 
 ![Real-time Volumetric Mapping](https://user-images.githubusercontent.com/6604166/111788476-6c7a8800-88c0-11eb-9592-86609b9eb57c.png)
-   Colored UFOMap constructed in real-time (2 Hz) at 2 mm voxel size.
+   以 2 mm 体素大小实时（2 Hz）构建的彩色 UFOMap。
 
-## Table of Contents
-Please see the [Wiki](https://github.com/UnknownFreeOccupied/ufomap/wiki) for how to install and use UFOMap.
-1. [Setup](https://github.com/UnknownFreeOccupied/ufomap/wiki/Setup)
-2. [Tutorials](https://github.com/UnknownFreeOccupied/ufomap/wiki/Tutorials)
-3. [ROS Tutorials](https://github.com/UnknownFreeOccupied/ufomap/wiki/ROS-Tutorials)
-4. [Advanced ROS Tutorials](https://github.com/UnknownFreeOccupied/ufomap/wiki/Advanced-ROS-Tutorials)
-5. [Performance](https://github.com/UnknownFreeOccupied/ufomap/wiki/Performance)
-6. [Example Outputs](https://github.com/UnknownFreeOccupied/ufomap/wiki/Example-Outputs)
-7. [Data Repository](https://github.com/UnknownFreeOccupied/ufomap/wiki/Data-Repository)
+## 目录
+有关如何安装和使用 UFOMap，请参阅 [Wiki](https://github.com/UnknownFreeOccupied/ufomap/wiki)。
+1. [安装配置](https://github.com/UnknownFreeOccupied/ufomap/wiki/Setup)
+2. [教程](https://github.com/UnknownFreeOccupied/ufomap/wiki/Tutorials)
+3. [ROS 教程](https://github.com/UnknownFreeOccupied/ufomap/wiki/ROS-Tutorials)
+4. [ROS 进阶教程](https://github.com/UnknownFreeOccupied/ufomap/wiki/Advanced-ROS-Tutorials)
+5. [性能](https://github.com/UnknownFreeOccupied/ufomap/wiki/Performance)
+6. [示例输出](https://github.com/UnknownFreeOccupied/ufomap/wiki/Example-Outputs)
+7. [数据仓库](https://github.com/UnknownFreeOccupied/ufomap/wiki/Data-Repository)
 8. [API](https://github.com/UnknownFreeOccupied/ufomap/wiki/API)
 
-## Credits
-### Paper
+## 致谢
+### 论文
 * [IEEE](https://ieeexplore.ieee.org/abstract/document/9158399)
 * [ArXiv](https://arxiv.org/abs/2003.04749)
-### Cite
-If you use UFOMap in a scientific publication, please cite the following paper:
+### 引用
+如果你在学术出版物中使用 UFOMap，请引用以下论文：
 * Daniel Duberg and Patric Jensfelt, "UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown," in IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 6411-6418, Oct. 2020, doi: 10.1109/LRA.2020.3013861.
 ```latex
 @article{duberg2020ufomap,
@@ -40,5 +46,5 @@ If you use UFOMap in a scientific publication, please cite the following paper:
   doi={10.1109/LRA.2020.3013861}
 }
 ```
-### Videos
+### 视频
 * [YouTube Playlist](https://youtube.com/playlist?list=PLoZnKRp2UVom4bv2fUVXgI5VCbuTrfrU3)