PCL Tutorial
INTRO
Part 0 (개요)
README
chapter01 : PCL & PCD란 (100%)
chapter02 : PCL 설치 (100%)
chapter03 : ROS 실습 준비(100%)
Part 1 (초급)
README
파일 생성 및 입출력 (70%)
PCL-Cpp (70%)
PCL-Python (70%)
Open3D-Python (70%)
ROS 실습 (90%)
샘플링 (70%)
다운샘플링-PCL-Cpp (70%)
다운샘플링-PCL-Python (50%)
업샘플링-PCL-Cpp (70%)
ROS 실습 (90%)
관심 영역 설정 (70%)
PCL-Cpp (70%)
PCL-Python (70%)
ROS 실습 (90%)
노이즈 제거 (70%)
PCL-Cpp (70%)
PCL-Python (50%)
ROS 실습 (90%)
바닥제거 (RANSAC) (70%)
PCL-Cpp (70%)
PCL-Python (70%)
ROS 실습 (90%)
Part 2 (중급)
README
군집화 (70%)
Euclidean-PCL-Cpp (70%)
Euclidean-PCL-Python (0%)
Conditional-Euclidean-PCL-Cpp (50%)
DBSCAN-PCL-Python (0%)
Region-Growing-PCL-Cpp (50%)
Region-Growing-RGB-PCL-Cpp (50%)
Min-Cut-PCL-Cpp (50%)
Model-Outlier-Removal-PCL-Cpp (50%)
Progressive-Morphological-Filter-PCL-Cpp (50%)
포인트 탐색과 배경제거 (60%)
Search-Octree-PCL-Cpp (70%)
Search-Octree-PCL-Python (70%)
Search-Kdtree-PCL-Cpp (70%)
Search-Kdtree-PCL-Python (70%)
Compression-PCL-Cpp (70%)
DetectChanges-PCL-Cpp (50%)
DetectChanges-PCL-Python (50%)
특징 찾기 (50%)
Normal-PCL-Cpp (70%)
Normal-PCL-Python (80%)
분류 (30%)
SVM-RGBD-PCL-Python (70%)
SVM-LIDAR-PCL-Python (0%)
SVM-ROS (0%)
정합 (70%)
ICP-PCL-Cpp (70%)
ICP-ROS 실습 (10%)
재구성 (30%)
Smoothig-PCL-Cpp (70%)
Smoothig-PCL-Python (70%)
Triangulation-PCL-Cpp (70%)
Part 3 (고급)
README
딥러닝 기반 학습 데이터 생성 (0%)
PointGAN (90%)
AutoEncoder (0%)
딥러닝 기반 샘플링 기법 (0%)
DenseLidarNet (50%)
Point Cloud Upsampling Network
Pseudo-LiDAR
딥러닝 기반 자율주행 탐지 기술 (0%)
딥러닝 기반 자율주행 분류 기술 (0%)
Multi3D
PointNet
VoxelNet (50%)
YOLO3D
SqueezeSeg
butNet
Snippets
PCL-Snippets
PCL-Python-Helper (10%)
Lidar Data Augmentation
Appendix
시각화Code
시각화툴
Annotation툴
Point Cloud Libraries (0%)
데이터셋
Cling_PCL
참고 자료
작성 계획_Tips
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데이터셋
1. KITTI
https://github.com/navoshta/KITTI-Dataset/blob/master/kitti-dataset.ipynb
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