Pinned Repositories
3d-lmnet
Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
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
AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
aiimooc_lesson
睿慕课三维点云处理课程作业代码
Awesome_Dynamic_SLAM
Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
direct_lidar_inertial_odometry_comments
为Direct LiDAR-Inertial Odometry添加了中文注释
efficient_online_segmentation
Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。
Point-cloud-process
深蓝三维点云处理课程
Cyh0408's Repositories
Cyh0408/aiimooc_lesson
睿慕课三维点云处理课程作业代码
Cyh0408/Point-cloud-process
深蓝三维点云处理课程
Cyh0408/3d-lmnet
Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
Cyh0408/3D-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
Cyh0408/AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Cyh0408/Awesome_Dynamic_SLAM
Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)
Cyh0408/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Cyh0408/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Cyh0408/direct_lidar_inertial_odometry_comments
为Direct LiDAR-Inertial Odometry添加了中文注释
Cyh0408/efficient_online_segmentation
Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。
Cyh0408/ERASOR_by_Kin
config with simple ndt slam, fork ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
Cyh0408/FAST-LOCALIZATION
A LiDAR-Inertial localization package based on FAST-LIO2, operating with a known prior map.
Cyh0408/hdbscan
A high performance implementation of HDBSCAN clustering.
Cyh0408/InsMOS
InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
Cyh0408/LeGO-LOAM-GPS
forked from RobustFieldAutonomyLab/LeGO-LOAM
Cyh0408/LiDAR-MOS
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
Cyh0408/lidar-slam-detection
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Cyh0408/localization_in_auto_driving
Cyh0408/MapMOS
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
Cyh0408/MotionBEV
A fast and accurate framework for LiDAR-based moving object segmentation.
Cyh0408/MotionSeg3D
[IROS 2022] Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
Cyh0408/multi_lidar_calibration
Multi lidar calibration tool from autoware, using NDT algorithm, need a approximate initial transformation
Cyh0408/ndt_localization
Cyh0408/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Cyh0408/patchwork-plusplus-ros
ROS Implementation of Patchwork++
Cyh0408/projection_lidar_cam
Cyh0408/python-pcl
Python bindings to the pointcloud library (pcl)
Cyh0408/sensor-fusion
深蓝多传感器融合课程作业
Cyh0408/smartcar
自动驾驶系统实现
Cyh0408/voxblox
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.