<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Steel_Knife的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Steel_Knife</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Steel_Knife]]></copyright><item><title><![CDATA[旋转矩阵及左右乘的意义]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/138752063</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/138752063</guid><author>Steel_Knife</author><pubDate>Sun, 12 May 2024 12:33:50 +0800</pubDate><description><![CDATA[旋转矩阵及左右乘的意义。]]></description><category></category></item><item><title><![CDATA[求imu的偏置的简易方法]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/138080635</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/138080635</guid><author>Steel_Knife</author><pubDate>Mon, 22 Apr 2024 16:06:47 +0800</pubDate><description><![CDATA[方法来源 高翔《自动驾驶与机器人中的SLAM技术》，所在slam_in_autonomous_driving-master/src/ch3/static_imu_init.cc。]]></description><category></category></item><item><title><![CDATA[SLAM完美运行的参考]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/137949891</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/137949891</guid><author>Steel_Knife</author><pubDate>Fri, 19 Apr 2024 09:10:54 +0800</pubDate><description><![CDATA[LIO-SAM运行。]]></description><category></category></item><item><title><![CDATA[回调函数的方式]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/137632779</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/137632779</guid><author>Steel_Knife</author><pubDate>Thu, 11 Apr 2024 11:40:41 +0800</pubDate><description><![CDATA[【代码】回调函数的方式。]]></description><category></category></item><item><title><![CDATA[LocalTrajectoryBuilder2D::MatchingResult 数据分析]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/136702920</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/136702920</guid><author>Steel_Knife</author><pubDate>Thu, 14 Mar 2024 11:29:42 +0800</pubDate><description><![CDATA[【代码】LocalTrajectoryBuilder2D::MatchingResult 数据分析。]]></description><category></category></item><item><title><![CDATA[使用Eigen进行角度转换和旋转平移计算]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/136292729</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/136292729</guid><author>Steel_Knife</author><pubDate>Mon, 26 Feb 2024 10:12:01 +0800</pubDate><description><![CDATA[/x,y,z  为自己设置的数值。// 定义roll、pitch和yaw角度（单位：弧度）double roll = 0.1;多个 Eigen::Matrix4d rt 进行计算。]]></description><category></category></item><item><title><![CDATA[多传感器融合博客]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/136020777</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/136020777</guid><author>Steel_Knife</author><pubDate>Sun, 04 Feb 2024 09:57:28 +0800</pubDate><description><![CDATA[https://blog.youkuaiyun.com/okgwf/article/details/119940610]]></description><category></category></item><item><title><![CDATA[imu的互补滤波]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/135841015</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/135841015</guid><author>Steel_Knife</author><pubDate>Thu, 25 Jan 2024 11:59:45 +0800</pubDate><description><![CDATA[可以更正imu的速度，及方向。]]></description><category></category></item><item><title><![CDATA[2d 多传感器融合]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/135665114</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/135665114</guid><author>Steel_Knife</author><pubDate>Thu, 18 Jan 2024 09:02:02 +0800</pubDate><description><![CDATA[- imu-tools 使用
参考链接github]]></description><category></category></item><item><title><![CDATA[slam work]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/135388234</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/135388234</guid><author>Steel_Knife</author><pubDate>Thu, 04 Jan 2024 15:31:26 +0800</pubDate><description><![CDATA[https://blog.youkuaiyun.com/jiny_yang/article/details/135342818?spm=1001.2014.3001.5502]]></description><category></category></item><item><title><![CDATA[opencv和深度学习结合的代码]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/134940086</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/134940086</guid><author>Steel_Knife</author><pubDate>Tue, 12 Dec 2023 08:43:11 +0800</pubDate><description><![CDATA[https://www.zhihu.com/people/ka-ka-83-70/answers添加链接描述]]></description><category></category></item><item><title><![CDATA[ceres & G2O 相关教程]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/134718536</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/134718536</guid><author>Steel_Knife</author><pubDate>Thu, 30 Nov 2023 18:02:36 +0800</pubDate><description><![CDATA[ceres相关教程
https://zhuanlan.zhihu.com/p/664810032


]]></description><category></category></item><item><title><![CDATA[Cartographer 修改方案总结]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/134686495</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/134686495</guid><author>Steel_Knife</author><pubDate>Wed, 29 Nov 2023 16:33:33 +0800</pubDate><description><![CDATA[Cartographer之基于运动阈值筛选约束的方法
https://blog.youkuaiyun.com/zhzwang/article/details/113546877?spm=1001.2014.3001.5502


]]></description><category></category></item><item><title><![CDATA[Cartographer 较好的博客讲解]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/134674668</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/134674668</guid><author>Steel_Knife</author><pubDate>Tue, 28 Nov 2023 19:16:51 +0800</pubDate><description><![CDATA[1. Cartographer源码解析——2D栅格地图构建https://blog.youkuaiyun.com/m0_67976789/article/details/130251265]]></description><category></category></item><item><title><![CDATA[关于Roll Pitch yaw 方向的理解]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/134667187</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/134667187</guid><author>Steel_Knife</author><pubDate>Tue, 28 Nov 2023 14:40:20 +0800</pubDate><description><![CDATA[https://www.bilibili.com/read/cv15930074/]]></description><category></category></item><item><title><![CDATA[一些slam 算法的代码]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/134601102</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/134601102</guid><author>Steel_Knife</author><pubDate>Fri, 24 Nov 2023 16:03:39 +0800</pubDate><description><![CDATA[https://blog.youkuaiyun.com/lzy6041/article/details/107302562]]></description><category></category></item><item><title><![CDATA[运动畸变去除方法总结]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/134569800</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/134569800</guid><author>Steel_Knife</author><pubDate>Thu, 23 Nov 2023 09:53:22 +0800</pubDate><description><![CDATA[运动畸变去处（不断更新）]]></description><category></category></item><item><title><![CDATA[KNN实现手写数字（自己的）识别]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/110440931</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/110440931</guid><author>Steel_Knife</author><pubDate>Tue, 01 Dec 2020 17:19:13 +0800</pubDate><description><![CDATA[这里写自定义目录标题KNN实现手写数字（自己的）识别项目文件代码展示
KNN实现手写数字（自己的）识别
项目文件

代码展示
import numpy as npy
import os
from collections import  Counter
import operator as opt
from matplotlib import pyplot as plt

#欧氏距离
def knn(k,test_data,train_data,labels): #传统蛮力求解KNN法，计算欧式距离
    ]]></description><category></category></item><item><title><![CDATA[Kmp算法完整代码]]></title><link>https://blog.youkuaiyun.com/Steel_Knife/article/details/102747226</link><guid>https://blog.youkuaiyun.com/Steel_Knife/article/details/102747226</guid><author>Steel_Knife</author><pubDate>Fri, 25 Oct 2019 17:38:41 +0800</pubDate><description><![CDATA[#include&lt;iostream&gt;
#include&lt;cstdio&gt;
#include&lt;fstream&gt;
#include&lt;algorithm&gt;
#include&lt;cmath&gt;
#include&lt;deque&gt;
#include&lt;vector&gt;
#include&lt;queue&gt;
#include&lt;s...]]></description><category></category></item></channel></rss>