Kim YoungJoo's repositories
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
3D-MiniNet
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
3D_multiview_reg
Learning multiview 3D point cloud registration
adaptive_clustering
A lightweight and accurate point cloud clustering method
awesome-point-cloud-deep-learning
Paper list of deep learning on point clouds.
CarPoseDemo
Real-time Mobile Car Pose Estimation with CoreML
cascaded_ground_seg
The implementation of "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles"
cloud_annotation_tool
L-CAS 3D Point Cloud Annotation Tool
feature-graph-learning
An official MATLAB implementation of the paper "Feature Graph Learning for 3D Point Cloud Denoising".
lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Lidar_For_AD_references
A list of references on lidar point cloud processing for autonomous driving
linefit_ground_segmentation
Ground Segmentation
Open3D-PointNet2-Semantic3D
Semantic3D segmentation with Open3D and PointNet++
point_labeler
My awesome point cloud labeling tool
PointNet12
Combination of Pointnet and Pointnet++ with KITTI Point Cloud Semantic Segmentation Dataset
PyTorch-tutorials-kr
PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean.)
ransac-shape-detector
Shpe detection in 3D point clouds using RANSAC algorithm
semantic-segmentation
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Semantic_SLAM
Semantic SLAM using ROS, ORB SLAM, PSPNet101
semantickitti-matlab
Some useful tools written in Matlab for Semantic KITTI
tracking_lib
Tracking objects obtaining from segmentor and improve segmentation. https://github.com/LidarPerception/segmenters_lib