<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[weixin_46190814的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/weixin_46190814</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; weixin_46190814]]></copyright><item><title><![CDATA[开源项目分享——Hindsight：Agent 长期记忆系统设计与实现]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/167221880</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/167221880</guid><author>weixin_46190814</author><pubDate>Wed, 07 Oct 2026 15:58:15 +0800</pubDate><description><![CDATA[Hindsight 是一个面向 Agent 的长期记忆系统，通过结构化事实提取、多路检索融合与证据链驱动的知识演化，实现记忆的可信累积。其核心创新在于将重复事实合并为带证据的结论，支持可追溯、可撤回的记忆管理，并通过四层记忆架构（世界事实、经验、观察、心智模型）实现知识演进。实测显示其召回准确率高，但写入成本较高，适合需审计、跨会话沉淀知识的复杂场景，如工业、医疗、多租户系统，不适用于轻量级或零 LLM 调用需求。]]></description><category></category></item><item><title><![CDATA[RAG技术梳理]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/150603990</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/150603990</guid><author>weixin_46190814</author><pubDate>Fri, 06 Feb 2026 16:52:35 +0800</pubDate><description><![CDATA[RAG技术是什么？通过检索与用户问题相关的外部知识（如文档、数据库、网页等），将这些知识作为 “补充信息” 提供给 LLM，让 LLM 基于 “自身训练知识 + 外部检索知识” 生成更准确、更可靠的回答。]]></description><category></category></item><item><title><![CDATA[数据结构基础学习记录]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/141171792</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/141171792</guid><author>weixin_46190814</author><pubDate>Sat, 17 Aug 2024 10:37:32 +0800</pubDate><description><![CDATA[链表，哈希表，栈和队列，二叉树四种数据结构的知识总结。]]></description><category></category></item><item><title><![CDATA[时间序列模型简单总结]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/141164995</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/141164995</guid><author>weixin_46190814</author><pubDate>Wed, 14 Aug 2024 10:52:06 +0800</pubDate><description><![CDATA[是按照一定的时间间隔排列的一组数据，其时间间隔可以是任意的时间单位，如小时、日、周月等。比如，每天某产品的用户数量，每个月的销售额，这些数据形成了以一定时间间隔的数据。是一种用于进行回归问题建模的模型，整个建模过程只有时间这一个特征，也就是说时间序列的模型预测过程就是希望通过时间这一个特征去对标签进行连续型数值预测。分为：1、分析序列的特性（探究潜在的影响因素， 理解序列的变化）；2、对未来的序列进行预测和控制。]]></description><category></category></item><item><title><![CDATA[latex工具要点]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/139882214</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/139882214</guid><author>weixin_46190814</author><pubDate>Thu, 27 Jun 2024 14:51:15 +0800</pubDate><description><![CDATA[latex使用记录]]></description><category></category></item><item><title><![CDATA[VIO外参标定方法总结]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/135438618</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/135438618</guid><author>weixin_46190814</author><pubDate>Fri, 26 Apr 2024 14:08:54 +0800</pubDate><description><![CDATA[外参标定学习记录]]></description><category></category></item><item><title><![CDATA[论文阅读：Vehicle-Motion-Constraint-Based Visual-Inertial-Odometer Fusion With OnlineExtrinsicCalibration]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/136950110</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/136950110</guid><author>weixin_46190814</author><pubDate>Sat, 23 Mar 2024 14:44:01 +0800</pubDate><description><![CDATA[论文阅读翻译]]></description><category></category></item><item><title><![CDATA[论文阅读：Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/136259151</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/136259151</guid><author>weixin_46190814</author><pubDate>Sat, 24 Feb 2024 09:50:25 +0800</pubDate><description><![CDATA[论文阅读总结]]></description><category></category></item><item><title><![CDATA[OpenVINS学习7——评估工具的简单使用]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/135632273</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/135632273</guid><author>weixin_46190814</author><pubDate>Tue, 16 Jan 2024 18:58:27 +0800</pubDate><description><![CDATA[OPENVINS学习，针对VIRAL单个序列数据进行评估]]></description><category></category></item><item><title><![CDATA[自监督深度学习技术]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/135438754</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/135438754</guid><author>weixin_46190814</author><pubDate>Sun, 07 Jan 2024 15:13:35 +0800</pubDate><description><![CDATA[简单了解了一下自监督学习，然后查了一下自监督VIO相关论文]]></description><category></category></item><item><title><![CDATA[OpenVINS学习6——VioManagerHelper.cpp,VioManagerOptions.h学习与注释]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/135396727</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/135396727</guid><author>weixin_46190814</author><pubDate>Sun, 07 Jan 2024 13:10:08 +0800</pubDate><description><![CDATA[openvins学习=记录]]></description><category></category></item><item><title><![CDATA[OpenVINS学习5——VioManager.cpp/h学习与注释]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/135371680</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/135371680</guid><author>weixin_46190814</author><pubDate>Thu, 04 Jan 2024 21:16:45 +0800</pubDate><description><![CDATA[OpenVINS读代码记录]]></description><category></category></item><item><title><![CDATA[论文阅读：A Rotation-Translation-Decoupled Solution for Robust and Efficient VI Initialization]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/135297421</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/135297421</guid><author>weixin_46190814</author><pubDate>Tue, 02 Jan 2024 09:27:04 +0800</pubDate><description><![CDATA[A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization论文阅读，提出了一种新的VIO初始化方法，提高了精度与鲁棒性。]]></description><category></category></item><item><title><![CDATA[论文阅读：Stereo Visual-Inertial Odometry With Online Initialization and Extrinsic Self-Calibration]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/135274023</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/135274023</guid><author>weixin_46190814</author><pubDate>Tue, 02 Jan 2024 09:26:29 +0800</pubDate><description><![CDATA[论文阅读总结，这篇论文是对于双目VIO的初始化估计，主要工作是结合了外参的标定，实现了在线标定未知外参数能力的立体VIO。]]></description><category></category></item><item><title><![CDATA[OpenVINS学习4——ov_init代码解析]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/135001516</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/135001516</guid><author>weixin_46190814</author><pubDate>Thu, 14 Dec 2023 21:04:26 +0800</pubDate><description><![CDATA[openvins静态初始化、动态初始化、初始化整合三个函数代码的注释记录。]]></description><category></category></item><item><title><![CDATA[OpenVINS学习3——初始化原理学习]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/134957491</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/134957491</guid><author>weixin_46190814</author><pubDate>Tue, 12 Dec 2023 20:06:42 +0800</pubDate><description><![CDATA[OpenVINS的初始化分为静态初始化和动态初始化两部分，分别对应初始静止与初始运动。]]></description><category></category></item><item><title><![CDATA[论文阅读Estimator Initialization in Vision-aided Inertial Navigation with Unknown Camera-IMU Calibration]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/134952807</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/134952807</guid><author>weixin_46190814</author><pubDate>Tue, 12 Dec 2023 19:33:07 +0800</pubDate><description><![CDATA[Estimator Initialization in Vision-aided Inertial Navigation with Unknown Camera-IMU Calibration论文阅读，这是OpenVINS中动态初始化使用的方法，这篇论文主要是提出了一个不需要先验信息（不需要初始时静止）的初始状态估计方法。]]></description><category></category></item><item><title><![CDATA[OpenVINS学习2——VIRAL数据集eee01.bag运行]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/134930017</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/134930017</guid><author>weixin_46190814</author><pubDate>Mon, 11 Dec 2023 20:55:31 +0800</pubDate><description><![CDATA[完成VIRAL数据集eee01.bag的配置运行，下一步学习初始化原理，深入了解配置参数的意义。]]></description><category></category></item><item><title><![CDATA[OpenVINS学习1——数据集配置与运行]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/134885194</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/134885194</guid><author>weixin_46190814</author><pubDate>Fri, 08 Dec 2023 22:29:22 +0800</pubDate><description><![CDATA[OpenVINS学习记录1]]></description><category></category></item><item><title><![CDATA[论文阅读：Bias Compensated UWB Anchor Initialization using Information-Theoretic Supported Triangulation]]></title><link>https://blog.youkuaiyun.com/weixin_46190814/article/details/134880167</link><guid>https://blog.youkuaiyun.com/weixin_46190814/article/details/134880167</guid><author>weixin_46190814</author><pubDate>Fri, 08 Dec 2023 17:14:00 +0800</pubDate><description><![CDATA[论文阅读总结，本文解决了在没有先验知识的情况下准确的UWB锚点初始化问题，提出一个两阶段UWB锚点精确估计的方法：首先使用随机三角化点进行粗锚点初始化和偏差估计。然后，这些值用于基于FIM的优化，以生成用于锚点位置和测量偏差的优化步骤的最佳三角测量点。]]></description><category></category></item></channel></rss>