https://github.com/wykxwyc/LeGO-LOAM_NOTED

LeGO-LOAM代码注释与学习
https://github.com/wykxwyc/LeGO-LOAM_NOTED

Last synced: about 2 months ago
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LeGO-LOAM代码注释与学习

• Host: GitHub
• URL: https://github.com/wykxwyc/LeGO-LOAM_NOTED
• Owner: wykxwyc
• Created: 2019-04-26T14:15:14.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-11-12T08:52:36.000Z (over 4 years ago)
• Last Synced: 2024-01-07T00:07:38.155Z (6 months ago)
• Language: C++
• Size: 22.8 MB
• Stars: 488
• Watchers: 17
• Forks: 180
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

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• awesome-stars - wykxwyc/LeGO-LOAM_NOTED - LeGO-LOAM代码注释与学习 (C++)
• Awesome-Self-Driving - LeGO-LOAM_NOTED - LeGO-LOAM代码注释与学习. (17. For Chinese / 8.8. Other)

README

        
# LeGO-LOAM_NOTED

LeGO-LOAM代码注释与学习

### 博客链接

目前进行的一些更新都会在CSDN上进行，全部更新完会再更新个人博客上的内容。

CSDN博客的内容链接：      

1.[地图优化代码理解](https://blog.csdn.net/wykxwyc/article/details/98316127)    

2.[图像重投影代码理解](https://blog.csdn.net/wykxwyc/article/details/98317100)    

3.[特征关联代码理解](https://blog.csdn.net/wykxwyc/article/details/98317544)    

4.[LeGO-LOAM代码中数学公式的解析](https://blog.csdn.net/wykxwyc/article/details/98318294)     

5.[LeGO-LOAM论文翻译(内容精简)](https://blog.csdn.net/wykxwyc/article/details/89605721)      

6.[关于位姿变换的一道题](https://blog.csdn.net/wykxwyc/article/details/101712524)     

个人博客上的目前还没有进行更新:    

1.[地图优化代码理解](https://wykxwyc.github.io/2019/01/21/LeGO-LOAM-code-review-mapOptmization/)   

2.[图像重投影代码理解](https://wykxwyc.github.io/2019/01/23/LeGO-LOAM-code-review-imageProjection/)   

3.[特征关联代码理解](https://wykxwyc.github.io/2019/01/24/LeGO-LOAM-code-review-featureAssociation/)    

4.[LeGO-LOAM代码中数学公式的解析](https://wykxwyc.github.io/2019/08/01/The-Math-Formula-in-LeGO-LOAM/)       

5.[LeGO-LOAM论文翻译(内容精简)](https://wykxwyc.github.io/2019/04/26/LeGO-LOAM-Paper-Traslation-and-Summary/)   

### 实验与说明

The cordinate of velodyne LiDAR:    

   

The cordinate of frame-of-integrated_to_init:    

   

Test without IMU:    

   

  

ROS nodes in LeGO-LOAM:    



### About update

2018-12-28 Forked from LeGO-LOAM: https://github.com/RobustFieldAutonomyLab/LeGO-LOAM       

2019-10-08 Update the comment and the blog