robot_localization协方差

引用中提到了使用来自robot_localization的扩展卡尔曼滤波器节点实现传感器融合的深入分步教程。该教程解释了协方差和卡尔曼滤波器等基本概念。中提到了卡尔曼滤波器根据传感器的测量协方差矩阵来减少传感器的读数。方差越高，噪声和不确定性就越高，可信度就越低。因此，调整每个传感器的测量协方差矩阵非常重要，这包括调整初始协方差估计和过程噪声协方差矩阵。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [使用robot_localization 实现传感器融合 的深入分步教程_设计_文档_相关文件_下载](https://download.csdn.net/download/qq_38334677/86070044)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [LidarSLAM（四）：robot_localization](https://blog.csdn.net/qq_37662375/article/details/107401070)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [robot_localization：使用](https://blog.csdn.net/viphl/article/details/116654782)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
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