<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[denny_data的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/denny_data</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; denny_data]]></copyright><item><title><![CDATA[KNN算法]]></title><link>https://blog.youkuaiyun.com/denny_data/article/details/130406328</link><guid>https://blog.youkuaiyun.com/denny_data/article/details/130406328</guid><author>denny_data</author><pubDate>Thu, 27 Apr 2023 17:14:28 +0800</pubDate><description><![CDATA[K Nearest Neighbor算法⼜叫KNN算法，这个算法是机器学习⾥⾯⼀个⽐较经典的算法。如果⼀个样本在特征空间中的k个最相似(即特征空间中最邻近)的样本中的⼤多数属于某⼀个类别，则该样本也属于这个类别。]]></description><category></category></item><item><title><![CDATA[点云补全算法汇总]]></title><link>https://blog.youkuaiyun.com/denny_data/article/details/129472080</link><guid>https://blog.youkuaiyun.com/denny_data/article/details/129472080</guid><author>denny_data</author><pubDate>Sun, 12 Mar 2023 09:22:20 +0800</pubDate><description><![CDATA[点云补全就是希望基于观察到的残缺不全的点云生成完整的 3D 点云。由于扫描或者距离的原因导致点云局部缺失，对其进行补全，传统算法可能会补不完整，也可能会补的过于完整。]]></description><category></category></item><item><title><![CDATA[点云分类和点云分割]]></title><link>https://blog.youkuaiyun.com/denny_data/article/details/129440515</link><guid>https://blog.youkuaiyun.com/denny_data/article/details/129440515</guid><author>denny_data</author><pubDate>Sun, 12 Mar 2023 09:05:29 +0800</pubDate><description><![CDATA[点云的分类是将点云分类到不同的点云集。
点云分割的主要过程是将原始3D点云分组为非重叠区域。]]></description><category></category></item><item><title><![CDATA[自动驾驶算法 -撞前预警论文解读与项目应用]]></title><link>https://blog.youkuaiyun.com/denny_data/article/details/129228233</link><guid>https://blog.youkuaiyun.com/denny_data/article/details/129228233</guid><author>denny_data</author><pubDate>Tue, 28 Feb 2023 11:43:58 +0800</pubDate><description><![CDATA[1.1 深度估计应用场景之一（特斯拉撞前预警）
1.2 深度估计概念
1.3 深度估计整体架构
1.4 深度估计架构流程论文解读
1.5 深度估计项目应用]]></description><category></category></item><item><title><![CDATA[激光雷达和点云算法汇总（长期更新）]]></title><link>https://blog.youkuaiyun.com/denny_data/article/details/128892465</link><guid>https://blog.youkuaiyun.com/denny_data/article/details/128892465</guid><author>denny_data</author><pubDate>Tue, 21 Feb 2023 17:00:13 +0800</pubDate><description><![CDATA[激光雷达和3D点云算法汇总（持续更新），点云分类pointnet++，点云分割，点云特征提取，点云补全PF-Net，点云配准RPM-Net]]></description><category></category></item></channel></rss>