├── .gitignore ├── LICENSE ├── README.md └── slides ├── 00补充材料 ├── 01-传感器联合标定与感知融合（标定篇）.pdf ├── 02-传感器联合标定与感知融合（融合篇）.pdf ├── 03-相机和激光雷达的动态联合标定简单分享.pdf ├── Koch2014_Book_TrackingAndSensorDataFusion.pdf ├── 多传感器数据融合手册-理论与实践.pdf ├── 多传感器数据融合理论与实践（原版）.pdf └── 自动驾驶中的多传感器数据融合分享PPT_20210528.pdf ├── 01传感器介绍 ├── 多传感器融合-第一章-常用传感器硬件介绍-20210619.pdf ├── 常用传感器硬件介绍课后题目答案_20210619.pdf ├── 自动驾驶之多传感器融合-硬件篇-第一次课(0619) 01摄像头.pdf ├── 自动驾驶之多传感器融合-硬件篇-第一次课(0619) 02激光雷达（改）.pdf └── 自动驾驶之多传感器融合-硬件篇-第一次课(0619) 03毫米波雷达.pdf ├── 02多传感器同步理论 └── 多传感器同步理论20210703.pdf ├── 03多传感器信息融合理论（上篇） ├── 发明专利申请说明书CN201911272577.7.pdf ├── 多传感器融合-第三章-自动驾驶中多传感器信息融合理论0717.pdf └── 自动驾驶之多传感器融合-理论篇_20210725.pdf ├── 04多传感器信息融合理论(下篇) └── 多传感器信息融合理论下_20210725.pdf ├── Plus ├── 光流估计.pdf ├── 分享一种激光雷达和相机联合标定的方法.pdf └── 标定板A0-148mm-7x4.pdf └── 实战篇 ├── 0 实战基础 ├── 0.1 2D-3D求解方法（PnP系列） │ ├── EPnP.zip │ ├── EPnP │ │ └── EPnP │ │ │ ├── 2009_EPNP An Accurate O(n) Solution for pnp.pdf │ │ │ ├── EPnP算法 - jian-li - 博客园.html │ │ │ ├── EPnP算法 - jian-li - 博客园_files │ │ │ ├── 20150426090348.png │ │ │ ├── 24442-20160803181056012-1919505484.jpg │ │ │ ├── 24442-20160805112458981-1554012564.jpg │ │ │ ├── MathJax.js │ │ │ ├── Thumbs.db │ │ │ ├── adcpage.html │ │ │ ├── blog-common.css │ │ │ ├── blog-common.js │ │ │ ├── btn_normal.png │ │ │ ├── bundle-sea.css │ │ │ ├── close.png │ │ │ ├── concept_03.png │ │ │ ├── highlight.min.js │ │ │ ├── icon_weibo_24.png │ │ │ ├── jquery.js │ │ │ ├── normal.png │ │ │ ├── seting.png │ │ │ ├── wechat.png │ │ │ └── xml.gif │ │ │ ├── Horn Closed-form solution of absolute orientation using orthonormal matrices.pdf │ │ │ ├── Thumbs.db │ │ │ ├── epnp.cpp │ │ │ ├── epnp.h │ │ │ ├── relinearization.pdf │ │ │ └── svd复杂度.txt │ ├── P3P.zip │ ├── P3P │ │ └── P3P │ │ │ ├── 2003_p3p问题完美解决方案.pdf │ │ │ ├── Using Quaternions to Calculate RMSD.pdf │ │ │ ├── p3p.cpp │ │ │ └── p3p.h │ ├── 乌班图下安装docker.pdf │ └── 实战课_2D-3D求解方法_20210726.pdf └── 0.2 点云去畸变与对齐实战 │ └── 实战课-点云去畸变及对齐20210801.pdf.pdf ├── 1. 传感器间时间空间同步实战 └── test ├── 1.1 多相机间的同步实战 └── 实战课_多相机间的同步实战_20210808.pdf ├── 1.2 相机与IMU间的同步实战 ├── 实战课_相机与IMU的同步实战_20210814.pdf └── 自动驾驶之多传感器融合-实战篇（一）03Lidar与IMU同步.pdf ├── 1.3 相机与LiDAR间的同步实战 ├── 前融合方法调研.pdf ├── 实战课_相机与激光的同步实战_20210821.pdf ├── 特斯拉 AI DAY PPT.pdf └── 笔记_自动驾驶之多传感器融合-实战篇（一）04相机与Lidar同步.pdf ├── 1.4 LiDAR与IMU间的同步实战 └── 实战课_激光与IMU的同步实战_20210828.pdf ├── 2. 传感器间信息融合实战 └── test ├── 2.1 多相机间的信息融合 └── test ├── 2.2 相机与IMU间的信息融合 └── 实战课_相机与IMU的融合实战_20210905.pdf ├── 2.3相机与LiDAR间的信息融合&2.4相机与Radar的信息融合 └── test ├── 2.5 LiDAR与IMU间的信息融合 ├── lidar_imu_fusion │ ├── cloud_img.h │ ├── cloud_info.h │ ├── reset_lidar_odometry.h │ ├── reset_lidar_odometryRequest.h │ └── reset_lidar_odometryResponse.h └── test └── 2.6 LiDAR与Radar间的信息融合 └── 实战课_Lidar_Radar融合_20211017.pdf /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/HuangCongQing/multi-sensor-fusion/HEAD/.gitignore -------------------------------------------------------------------------------- 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