# VINS-Course **Repository Path**: guoguome/VINS-Course ## Basic Information - **Project Name**: VINS-Course - **Description**: 从零开始手写VIO 课程代码 - **Primary Language**: C++ - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 1 - **Created**: 2020-02-24 - **Last Updated**: 2022-11-02 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Vins Course [ ![Build Status](doc/README-English-yellow.svg) ](README_EN.md) **作者**:贺一家,高翔,崔华坤,赵松 **描述**: 这是一个用于[深蓝学院]()教学的代码,她基于 VINS-Mono 框架,但不依赖 ROS, Ceres, G2o。这个代码非常基础,目的在于演示仅基于 Eigen 的后端 LM 算法,滑动窗口算法,鲁棒核函数等等 SLAM 优化中常见的算法。 该代码支持 Ubuntu or Mac OS. ### 安装依赖项: 1. pangolin: 2. opencv 3. Eigen 4. Ceres: vins 初始化部分使用了 ceres 做 sfm,所以我们还是需要依赖 ceres. ### 编译代码 ```c++ mkdir vins_course cd vins_course git clone https://github.com/HeYijia/VINS-Course mkdir build cd build cmake .. make -j4 ``` ### 运行 #### 1. CurveFitting Example to Verify Our Solver. ```c++ cd bin ./testCurveFitting ``` #### 2. VINs-Mono on Euroc Dataset ```c++ cd bin ./run_euroc /home/dataset/EuRoC/MH-05/mav0/ ../config/ ``` ![vins](doc/vins.gif) #### 3. VINs-Mono on Simulation Dataset (project homework) you can use this code to generate vio data. ```c++ https://github.com/HeYijia/vio_data_simulation ``` #### 4. Validation Results [evo package](https://github.com/MichaelGrupp/evo) ```c++ evo_ape euroc euroc_mh05_groundtruth.csv pose_output.txt -a -p ``` ![results](doc/results.png) ### Licence The source code is released under GPLv3 license. We are still working on improving the code reliability. For any technical issues, please contact Yijia He , Xiang Gao or Huakun Cui. For commercial inquiries, please contact Song Zhao ### 感谢 我们使用了港科大沈老师组的 [VINS-Mono](https://github.com/HKUST-Aerial-Robotics/VINS-Mono) 作为基础代码,非常感谢该组的工作。