> For the complete documentation index, see [llms.txt](https://pcl.gitbook.io/tutorial/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pcl.gitbook.io/tutorial/part-3/advanced.md).

# README

고급

* Range image를 이용한 군집화 
* BEV를 이용한 군집화 
* PointGAN을 이용한 학습 데이터 생성 
* VoxelNET을 이용한 분류 작업 

> 내공이 부족하여 어떻게 작성해야 할지 감이 안 잡히네요. **설치 설명서**만 되는것 같아 좀더 공부 후에 작성 하도록 하겠습니다.

* [딥러닝 기반 학습 데이터 생성 (0%)](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter01.md)
  * [PointGAN (90%)](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter01-PointGAN.md)
  * [AutoEncoder (0%)](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter01-AutoEncoder.md)
* [딥러닝 기반 샘플링 기법 (0%)](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter02.md)
  * [DenseLidarNet (50%)](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter02-DenseLidarNet.md)
  * [Point Cloud Upsampling Network](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter02-PUNet.md)
  * [Pseudo-LiDAR](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter02-Pseudo-LiDAR.md)
* [딥러닝 기반 자율주행 탐지 기술 (0%)](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter03.md)
* [딥러닝 기반 자율주행 분류 기술 (0%)](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter04.md)
  * [Multi3D](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter04-Multi3D.md)
  * [PointNet](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter04-PointNet.md)
  * [VoxelNet (50%)](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter04-VoxelNet.md)
  * [YOLO3D](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter04-YOLO3D.md)
  * [SqueezeSeg](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter04-SqueezeSeg.md)
  * [butNet](https://github.com/adioshun/gitBook_Tutorial_PCL/tree/7fec30c984cf7da87229afc6238f90ba9cb2ecf9/Advanced/Advanced/Part03-Chapter04-butNet.md)


---

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