YFS's repositories
aerial_mapper
Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs
deep-learning-localization-mapping
A collection of deep learning based localization models
gisnav
Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.
ImageAnalysis
Aerial imagery analysis, processing, and presentation scripts.
Lee-SLAM-source
SLAM 开发学习资源与经验分享
LightGlue
LightGlue: Local Feature Matching at Light Speed
Monocular-MiniSLAM
Real-Time Monocular Visual SLAM with Pose-graph optimization
MonoRec
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
mosaic-creation-papers
This repository is meant for collecting scientific articles about the mosaic creation process from UAV (Unmanned Aerial Vehicle) images.
OpenREALM
OpenREALM is a pipeline for real-time aerial mapping utilizing visual SLAM and 3D reconstruction frameworks.
openvslam-comments
openvslam的注释版代码
ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
orthoimage_software_collection
orthoimage_software_collection
Orthophoto_Maps
A mapping software that generate individual maps(orthophotos) from images of drone
pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
RealTimeImageMosaic
This Repository contains various algorithms for Image registration, stitching and seamless blending techniques for mosaicing of Aerial Imagery.
Recent-Stars-2021
🔥🔥🔥SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
Recent_SLAM_Research
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】
satellite-links-and-mapping
Satellite Links And Mapping (SLAM) is an open-source, Python 3 based satellite coverage area mapping application.
slam
An implementation monocular slam written in python. Using OpenCV, and g2opy
SLAM-BOOK
这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右，书稿每章对应的代码也会被整理出来。
SLAMPy-Monocular-SLAM-implementation-in-Python
Pythonic implementation of an ORB feature matching based Monocular-vision SLAM.
Stereo-Visual-Odometry-SFM
Real-time Stereo Visual Odometry Pipeline with Bundle Adjustement
SuperPoint_SLAM
SuperPoint + ORB_SLAM2
toySLAM
A monocular SLAM model for educational purposes.
UAV-and-TrueOrtho
Leon's Master Paper
Visual_SLAM_Related_Research
视觉(语义) SLAM 相关研究跟踪