<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[mt19930326的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/mt19930326</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; mt19930326]]></copyright><item><title><![CDATA[从零开始学习SLAM：openCV]]></title><link>https://blog.youkuaiyun.com/mt19930326/article/details/83447800</link><guid>https://blog.youkuaiyun.com/mt19930326/article/details/83447800</guid><author>mt19930326</author><pubDate>Sat, 27 Oct 2018 19:46:27 +0800</pubDate><description><![CDATA[继续跟随《视觉SLAM十四讲》学习SLAM问题，由于理论方面已经有一些研究，主要缺乏的是在LINUX下的实战开发能力，因而从代码开始分析入手，同时对C++11进行回顾。
1. openCV 中的Mat类
Mat类用于存储图像信息，详细信息见 https://docs.opencv.org/3.1.0/d3/d63/classcv_1_1Mat.html ，这里我们主要针对几个常用的点展开来记录。
...]]></description><category></category></item><item><title><![CDATA[从零开始学SLAM: Ceres/G2O求解优化问题]]></title><link>https://blog.youkuaiyun.com/mt19930326/article/details/83147192</link><guid>https://blog.youkuaiyun.com/mt19930326/article/details/83147192</guid><author>mt19930326</author><pubDate>Thu, 18 Oct 2018 21:42:05 +0800</pubDate><description><![CDATA[http://www.ceres-solver.org/nnls_tutorial.html
从《视觉SLAM十四讲》和ceres的tutorial开始学起，同时复习一下C++中的语法。
struct CURVE_FITTING_COST
{
        CURVE_FITTING_COST ( double x,double y): _x(x),_y(y) {}
        templa...]]></description><category></category></item><item><title><![CDATA[SLAM文献阅读（不定期更新）]]></title><link>https://blog.youkuaiyun.com/mt19930326/article/details/82988502</link><guid>https://blog.youkuaiyun.com/mt19930326/article/details/82988502</guid><author>mt19930326</author><pubDate>Tue, 09 Oct 2018 20:43:26 +0800</pubDate><description><![CDATA[SLAM文献阅读[1] Comparison of Optimization Techniques for 3D Graph-based SLAM
[1] Comparison of Optimization Techniques for 3D Graph-based SLAM
综述性论文，针对Graph SLAM的总体框架、前端、后端分别进行描述。

前端分类为map to map (构建sub...]]></description><category></category></item></channel></rss>