githubwys
A Phd student in Tongji University, Shanghai, China Focus on SLAM and Image Processing
Tongji University, shanghai, China
githubwys's Stars
peterWon/D-LIOM
Tightly-coupled Direct LiDAR-Inertial Odometry and Mapping Based on Cartographer3D.
nianticlabs/monodepth2
[ICCV 2019] Monocular depth estimation from a single image
TixiaoShan/LVI-SAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
zonechen1994/CV_Interview
I hope this repo can help you a lot!
YoYo000/MVSNet
MVSNet (ECCV2018) & R-MVSNet (CVPR2019)
svip-lab/FastMVSNet
[CVPR'20] Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
opencv/opencv
Open Source Computer Vision Library
Shubodh/ICRA2020
Code release for the ICRA 2020 paper "Topological Mapping for Manhattan-like Repetitive Environments"
rubengooj/stvo-pl
Stereo Visual Odometry by combining point and line segment features
liuguitao/AVP-SLAM-PLUS
An implementation of AVP-SLAM and some new contributions
IntelRealSense/librealsense
Intel® RealSense™ SDK
NVIDIA/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
brendenlake/omniglot
Omniglot data set for one-shot learning
jlblancoc/stvo-pl
Stereo Visual Odometry by combining point and line segment features
rubengooj/pl-slam
This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.
strasdat/Sophus
C++ implementation of Lie Groups using Eigen.
uzh-rpg/rpg_svo
Semi-direct Visual Odometry
rubengooj/pl-svo
This code contains an algorithm to compute monocular visual odometry by using both point and line segment features, based on the open source version of SVO.
raulmur/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
RainerKuemmerle/g2o
g2o: A General Framework for Graph Optimization
brookicv/imageRetrieval
Image retrieval learning record
snavely/bundler_sfm
Bundler Structure from Motion Toolkit
cartographer-project/cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
RobustFieldAutonomyLab/LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
TixiaoShan/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
microsoft/vscode-docker
Docker Extension for Visual Studio Code
linusyue/calibMono
Mono camera calibration with Opencv API
HKUST-Aerial-Robotics/A-LOAM
Advanced implementation of LOAM
koide3/fast_gicp
A collection of GICP-based fast point cloud registration algorithms
MIT-SPARK/Kimera
Index repo for Kimera code