基于半稠密直接法的VIO,修改自Kumar实验室开源代码:https://github.com/KumarRobotics/sdd_vio
修改自:https://github.com/cnqiangfu/PL-VINS.git
基于EVO(https://github.com/uzh-rpg/rpg_dvs_evo_open)实现的事件相机实时半稠密建图
港科大VINS-Mono, 开源地址https://github.com/HKUST-Aerial-Robotics/VINS-Mono
在VINS-Mono框架下复现论文Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios
港科大开源多传感器融合vio,代码地址:https://github.com/HKUST-Aerial-Robotics/VINS-Fusion
学习OpenCV3源代码,开源地址https://github.com/oreillymedia/Learning-OpenCV-3_examples,添加了少量注释,重命名了文件
转自:https://github.com/lijin-THU/notes-python.git
ORB_SLAM3注释详解,原地址:https://github.com/electech6/ORB_SLAM3_detailed_comments
https://github.com/gaoxiang12/ORBSLAM2_with_pointcloud_map
高博一起来做rgbd-slam代码,博客地址:https://www.cnblogs.com/gaoxiang12/tag/%E4%B8%80%E8%B5%B7%E5%81%9ARGB-D%20SLAM/
ORB_SLAM2注释详解,原地址:https://github.com/electech6/ORB_SLAM2_detailed_comments