睿慕课 三维点云处理技术和深度学习在点云处理中的应用

目录.txt -1.#INDB

第10章基于深度学习的点云注册方法

10-1 点云注册网络设计基础（上）.mp4 93.48MB

10-2 点云注册网络设计基础（下）.mp4 23.26MB

10-3 Metric based：3DMatch .mp4 46.51MB

10-4 Metric based：3DFeatNet .mp4 62.12MB

10-5 Regression based：Deep Closest Point.mp4 12.7MB

[三维点云第10章]课件.pdf 9.23MB

第11章基于深度学习的点云重识别与重定位

11-1 点云重识别和重定位方法.mp4 61.01MB

11-2 Point-to-Point：Flownet3D .mp4 61.68MB

11-3 Frame-to-Frame：Deep Closest Point.mp4 90.58MB

11-4 Frame-to-Frame：DeepVCP.mp4 67.09MB

11-5 Frame-to-Map：L3-Net .mp4 57.07MB

[三维点云第11章]优秀作业 426.54MB

[三维点云第11章]作业.pdf 228.76KB

[三维点云第11章]课件.pdf 6.78MB

第12章基于深度学习的点云物体识别

12-1 Point cloud Object Detection（上）.mp4 56.07MB

12-2 Point cloud Object Detection（下）.mp4 60.79MB

12-3 3D Datasets .mp4 37.49MB

12-4 深度学习点云物体识别任务指标.mp4 43.5MB

12-5 点云物体识别网络梳理（上） .mp4 83.74MB

12-6 点云物体识别网络梳理（下） .mp4 78.63MB

[三维点云第12章]课件.pdf 4.31MB

第13章基于深度学习的激光与视觉融合物体识别

13-1 点云图像融合物体识别基础（上）.mp4 77.7MB

13-2 点云图像融合物体识别基础（下）.mp4 112.51MB

13-3 视觉物体识别网络梳理.mp4 61.13MB

13-4 RCNN family：RCNN，Fast RCNN，Faster RCNN.mp4 98.61MB

13-5 RCNN family：Mask RCNN.mp4 27.02MB

13-6 YOLO family：YOLO，YOLOv2，YOLOv3.mp4 90.58MB

13-7 点云物体识别网络梳理.mp4 91.19MB

[三维点云第13章]课件.pdf 11.05MB

第14章深度学习在激光SLAM中的应用

14-1 深度学习与激光SLAM的结合点.mp4 202.87MB

14-2 Deep Lidar Odometry（上）.mp4 31.01MB

14-3 Deep Lidar Odometry（下）.mp4 72.01MB

14-4 Deep Lidar Loop Closure Detection.mp4 23.66MB

[三维点云第14章]课件.pdf 3.41MB

第1章基础知识

1-1课程概述.mp4 150.96MB

1-2激光雷达原理.mp4 172.91MB

1-3激光雷达安装、标定与同步.mp4 316.95MB

1-4激光雷达数据采集.mp4 46.38MB

1-5常用编程基础.mp4 121.5MB

[三维点云第1章]作业.docx 260.6KB

[三维点云第1章]概述.pdf 3.4MB

[三维点云第1章]课件.pdf 7.49MB

睿慕课三维点云与深度学习课程资料

CH1激光雷达

(2019-12-18)RS-Lidar-32_User_Guide_v2.3.2_CN.pdf 3.95MB

RSView 3.1.6 for Ubuntu 16.04.zip 231.89MB

RSView 3.1.6 for Windows_Setup.rar 65.83MB

RS_32_data.pcap 485.71MB

rs_lidar_32

angle.csv 547B

ChannelNum.csv 6.52KB

CurveRate.csv 190B

curves.csv 344.44KB

limit.csv 9B

seu.bag 1.19GB

第2章三维点云表征概述

2-1三维表征的获取方式和原理.mp4 287.37MB

2-2三维信息的表征形式.mp4 148.9MB

2-3点云的基本特征及描述.mp4 115.24MB

[三维点云第2章]作业.docx 477.05KB

[三维点云第2章]课件.pdf 10.83MB

睿慕课三维点云与深度学习课程资料

CH1激光雷达

(2019-12-18)RS-Lidar-32_User_Guide_v2.3.2_CN.pdf 3.95MB

RSView 3.1.6 for Ubuntu 16.04.zip 231.89MB

RSView 3.1.6 for Windows_Setup.rar 65.83MB

RS_32_data.pcap 485.71MB

rs_lidar_32

angle.csv 547B

ChannelNum.csv 6.52KB

CurveRate.csv 190B

curves.csv 344.44KB

limit.csv 9B

CH2点云表征

homework

作业2-bev.mp4 12.67MB

作业3-Feature relevance assessment for the semantic interpretation of 3D point cloud data.pdf 444.57KB

作业4-Joint 3D Proposal Generation and Object Detection from View Aggregation – 2017 – Ku et al.pdf 5.25MB

作业4-Multi-View 3D Object Detection Network for Autonomous Driving – 2016 – Chen et al.pdf 1.36MB

reference

A Survey on Implicit Surface Polygonization.pdf 1.69MB

CS6320-3DCV-S2013-stereo-rectification.pdf 702.87KB

CS6320-CV-F2013-chap11-multiple-views-part-I.pdf 3.14MB

CS6320-CV-F2013-chap11-multiple-views-part-II-animated.pdf 1.56MB

CS6320-CV-F2013-chap11-multiple-views-part-II.pdf 872.82KB

CS6320-CV-F2013-chap11-multiple-views-stereo.pdf 3.39MB

CS6320-CV-S2012-Ch2-Camera-Calibration.pdf 1.38MB

CS6320-CV-S2012-StructuredLight-II.pptx 12.87MB

CS6320-CV-S2012-StructuredLight.pptx 11.55MB

CS6320-S2013 – MVG – MP.pdf 2.68MB

Evaluation of depth-camera-systems for usage in semi-controlled assembly environments.pdf 8.99MB

Feature relevance assessment for the semantic interpretation of 3D point cloud data.pdf 444.57KB

pcaLectureShort_6pp.pdf 955.14KB

Point Cloud Classification.pdf 18.13MB

svd_pca.pptx 1.35MB

TOF.pdf 4.26MB

第3章三维空间变换

3.1-欧式坐标系.mp4 52.1MB

3.2-刚体运动坐标转换1.mp4 122.83MB

3.3-刚体运动坐标转换2.mp4 88.4MB

3.4-三维空间变换.mp4 81.95MB

[三维点云第3章]作业.pdf 231.62KB

[三维点云第3章]课件.pdf 4.71MB

第4章三维点云数据处理基础

4.1-Point Cloud Library.mp4 144.14MB

4.2-点云滤波方法.mp4 58.9MB

4.3-点云组织形式与最近邻搜索.mp4 122.45MB

4.4-点云分割拟合聚类方法 .mp4 76.47MB

4.5-演示1：点云滤波方法.mp4 117.54MB

4.6-演示2：点云组织形式与最近邻搜索.mp4 32.55MB

4.7-演示3：segmentation代码和聚类 拟合.mp4 73.92MB

CH4三维点云数据处理

homework.pcd 11.28MB

pcl_demo

Filtering

.idea

.name 10B

codeStyles

Project.xml 1.73KB

Filtering.iml 97B

misc.xml 240B

modules.xml 270B

workspace.xml 23.87KB

CMakeLists.txt 2.46KB

conditional_removal_filter.cpp 4.21KB

crophull

CMakeLists.txt 307B

crophull.cpp 3.14KB

pig.pcd 2.03MB

extract_indices.cpp 1.42KB

extract_indices_segment_filter.cpp 4.27KB

ModelOutlierRemoval.cpp 2.52KB

PassThroughfilter.cpp 3.33KB

project_inliers_filter.cpp 3.49KB

radius_outlier_filter.cpp 2.88KB

remove_nan_from_point_cloud.cpp 1.31KB

statistical_removal_filter.cpp 4.1KB

table_scene_lms400.pcd 5.39MB

uniform_sam_keypoint.cpp 3.37KB

VoxelGrid_filter.cpp 4.4KB

Searching

.idea

.name 15B

codeStyles

Project.xml 1.73KB

misc.xml 240B

modules.xml 270B

Searching.iml 97B

workspace.xml 11.16KB

CMakeLists.txt 1.24KB

kdTree_search.cpp 6.21KB

octree_change_detection.cpp 4.8KB

octree_Point_Cloud_Compression.cpp 7.67KB

octree_search.cpp 6.17KB

Segmentation

.idea

.name 12B

codeStyles

Project.xml 1.73KB

misc.xml 240B

modules.xml 276B

Segmentation.iml 97B

workspace.xml 20.3KB

clusters_segmentation.cpp 7.3KB

CMakeLists.txt 2.47KB

color_based_region_growing_segmentation.cpp 3.28KB

cylinder_segmentation.cpp 7.28KB

Difference_of_Normals_in_diff_radis__Segmentation.cpp 6.79KB

min_Cut_Based.pcd 318.51KB

min_Cut_Based_Segmentation.cpp 5.27KB

planar_segmentation.cpp 5.38KB

ProgressiveMorphologicalFilter_segmentation.cpp 2.45KB

random_sample_consensus.cpp 5.72KB

region_growing_normal_cur.cpp 5.55KB

region_growing_rgb_tutorial.pcd 2.18MB

region_growing_tutorial.pcd 1.24MB

samp11-utm.pcd 278.35KB

supervoxel_clustering.cpp 9.2KB

table_scene_lms400.pcd 5.39MB

table_scene_mug_stereo_textured.pcd 1.65MB

reference

apollo-modules-drivers-velodyne.zip 17.53KB

Fast segmentation of 3D point clouds A paradigm on LiDAR data for autonomous vehicle applications.pdf 1.6MB

基于激光雷达的运动补偿方法_庞正雅.pdf 1.83MB

[三维点云第1章]优秀作业.rar 636.37KB

[三维点云第1章]作业批改.rar 23.64MB

[三维点云第2章]优秀作业.rar 42.88MB

[三维点云第2章]作业批改.rar 521.92KB

[三维点云第4章]作业.pdf 187.15KB

[三维点云第4章]课件.pdf 9.42MB

第5章点云配准与点云SLAM基础

5-5 SLAM图优化基础 .mp4 49.56MB

5.1-点云配准方法（上）.mp4 70.78MB

5.2-点云配准方法（下）.mp4 66.83MB

5.3-SLAM基础框架.mp4 66.76MB

5.4-帧间匹配与激光里程计.mp4 91.36MB

5.5-SLAM图优化基础.mp4 70.78MB

[三维点云第1~3章]作业参考.rar 45.23KB

[三维点云第5章]课件.pdf 8.11MB

第6章点云识别与跟踪描述

6.1-点云关键点检测.mp4 89.32MB

6.2-点云常用特征描述（上）.mp4 64.23MB

6.3-点云常用特征描述（下）.mp4 165.09MB

[三维点云第6章]作业.pdf 200.95KB

[三维点云第6章]作业批改.rar 1.3KB

[三维点云第6章]课件.pdf 3.95MB

第7章深度学习方法基础

7-1 深度学习介绍 .mp4 71.78MB

7-2 一种简单的人工神经网络 .mp4 33.45MB

7-3 深度学习网络结构(上）.mp4 61.16MB

7-4 深度学习网络结构(下）.mp4 42.25MB

7-5 深度学习网络训练优化 .mp4 67.75MB

7-6 点云处理的深度学习介绍 .mp4 54.67MB

[三维点云第7章]优秀作业.rar 95.7MB

[三维点云第7章]作业.pdf 243.08KB

[三维点云第7章]课件.pdf 8.32MB

第8章基于深度学习的点云分类方法

8-1 点云分类网络设计基础（上） .mp4 91.88MB

8-2 点云分类网络设计基础（下） .mp4 96.06MB

8-3 Pointwise MLP：PointNet，PointNet++（上）.mp4 92.38MB

8-4 Pointwise MLP：PointNet，PointNet++（下）.mp4 80.73MB

[三维点云第8章]优秀作业v.rar 1.28GB

[三维点云第8章]作业.pdf 186.95KB

[三维点云第8章]课件.pdf 11.12MB

第9章基于深度学习的点云分割方法

9-1 点云分割网络设计基础.mp4 56.69MB

9-2 Graph-based_KCNet.mp4 68.96MB

9-3 Graph-based_DGCNN.mp4 93.36MB

9-4 Data Indexing-based_SO-Net.mp4 81.81MB

9-5 Convolution-based：pointCNN .mp4 62.23MB

9-6 Convolution-based：KPConv.mp4 103.04MB

[三维点云第9章]优秀作业 218.87MB

[三维点云第9章]作业.pdf 197.48KB

[三维点云第9章]课件.pdf 7.33MB