1.理论
Armadillo: C++ library for linear algebra & scientific computing - API Documentation (sourceforge.net)
SLAM本质剖析-G2O - 古月居从零开始学SLAM: Ceres/G2O求解优化问题 - 代码先锋网
qxiaofan/awesome-slambook2: 主要是在高博的《视觉SLAM十四讲》提供的实践代码基础上，加入一些自己平时会用到的代码。 (github.com)https://github.com/Keyran-H/camera-calibrationhttps://github.com/ceres-solver/ceres-solver/blob/master/examples/libmv_bundle_adjuster.cc
计算机视觉life团队注释的中文代码
链接：https://www.zhihu.com/question/536465868/answer/2555802704
ORB-SLAM2注释代码：https://github.com/electech6/ORB_SLAM2_detailed_comments
ORB-SLAM3注释代码：https://github.com/electech6/ORB_SLAM3_detailed_comments
Cartographer注释代码：https://github.com/xiangli0608/cartographer_detailed_comments_ws
VINS-Mono注释代码：https://github.com/xieqi1/VINS-Mono-noted
VINS-Fusion注释代码：https://github.com/xieqi1/VINS-Fusion-noted
几何三维重建注释代码：https://github.com/electech6/openMVS_comments
ALOAM注释代码：https://github.com/xieqi1/a-loam-noted
LIO-SAM注释代码：https://github.com/xieqi1/lio-sam-noted
LVI-SAM注释代码：https://github.com/electech6/LVI-SAM_detailed_comments
机器人运动规划注释代码：https://github.com/felderstehost/ros-navigation-noetic
标签：注释,github,求解,代码,标定,comments,相机,https,com From： https://blog.51cto.com/u_13669690/5950960