S-lagrange's Stars
qqxx6661/log-record
使用注解优雅记录系统日志,操作日志,后端埋点等,支持SpEL表达式,自定义上下文,自定义函数,实体类DIFF等其他高阶处理。
gudaoxuri/Microservices-Architecture
《微服务架构设计》
ricefishtech/industry4.0-mes
开源MES,生产制造管理系统,Manufacturing Execution System
HMX2013/FSPC-ROS
A ROS implementation of range image base dbscan clustering for 3D LiDAR point clouds
itolab-senior-car/lidar_clustering
zhulf0804/3D-PointCloud
Papers and Datasets about Point Cloud.
placeforyiming/Divide-and-Merge-LiDAR-Panoptic-Cluster
A LiDAR point cloud cluster for panoptic segmentation
placeforyiming/ICCVW21-LiDAR-Panoptic-Segmentation-TradiCV-Survey-of-Point-Cloud-Cluster
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
cavayangtao/lidar_clustering_bench
LiPC: LiDAR Point Cloud Clustering Benchmark Suite
wangx1996/Fast-Ground-Segmentation-Based-on-JPC
An implementation on "Shen Z, Liang H, Lin L, Wang Z, Huang W, Yu J. Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process. Remote Sensing. 2021; 13(16):3239. https://doi.org/10.3390/rs13163239"
url-kaist/patchwork-plusplus-ros
ROS & ROS2 Implementation of Patchwork++
url-kaist/patchwork-plusplus
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
IAMPadA/Panda-Rpc-Framework
CN-GuoZiyang/My-RPC-Framework
一个简单的RPC框架的实现
HuangCongQing/3D-LIDAR-Multi-Object-Tracking
🔥3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解
HuangCongQing/plane_fit_ground_filter
点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications
myybdl/lidar-xgboost
lidar xgboost classification
BADAL244/ros-pcl-ml
ros for point cloud processing wiut pcl and machine learning approach for object recognitiion
IvanNik17/Extract-Features-from-3D-meshes-for-Machine-Learning
Two Python scripts for extracting hand crafted features from 3D meshes and point clouds for Machine Learning. Features have been used as data for Random Forests, AdaBoost, Descision Trees, etc.
minzhang-1/PointHop
PointHop: An Explainable Machine Learning Method for Point Cloud Classification
rabinsen/MastersThesis
Masters Thesis in Road Edge Detection using hyperspectral and LiDAR data based on Machine and Deep Learning
smtarslanturk/Lidar-Classification-Machine-Learning-MATLAB
isl-org/Open3D-ML
An extension of Open3D to address 3D Machine Learning tasks
RadGorzy/3DPointCloudClassification_GUI
Tool for classifying (and testing different classifiers) 3D point clouds (scenes or single objects). You can choose different (previously trained) classification models and various parameters regarding segmentation, projection. You can also save objects fulfilling given requirements (f. ex. class or neural net response).
shaozhenghan/PointCloud_Classification_using_ML
Point Cloud Object Classification using Machine Learning
AutoLidarPerception/SARosPerceptionKitti
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
AutoLidarPerception/classifiers_lib
AutoLidarPerception/segmenters_lib
The LiDAR segmenters library, for segmentation-based detection.
AutoLidarPerception/object_builders_lib
Object Orientation Corrected Bounding Box Fit for Point Cloud Clusters.
supengufo/depth_clustering_ros
Clustering Algorithm,Point Cloud Segmentation