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nav_matlab's Issues

请问有imu+uwb融合有翻译成python的版本吗?

我自己尝试将example_eskf_uwb_imu项目从matlab转化成python,并使用自己的数据集进行绘图,结果发现,在matlab融合的不错但是在python上的融合定位结果比纯uwb定位多了最大两米的轨迹偏移(虽然两者大致轨迹形状一致)。我在排查时发现python在计算P = F @ P @ F.T + G @ block_diag(Q1, Q2) @ G.T时,矩阵P有部分元素与matlab有小数精度上的误差(通常小于0.00001)。我确定除了P值计算以及与P值相关的计算以外,其他代码与变量初始值都与matlab一致。
想看看有没有大佬尝试做过python版本

关于缺少函数ch_qintg的问题

您好,我下载了开源代码并运行了ahrs_test.m,也添加lib到路径中,却依然报错“函数或变量 'ch_qintg' 无法识别。”请问您能上传这个函数吗?

以及我运行了UWB与IMU结合的实例画图,为何最终坐标只有实际的运行轨迹,而没有滤波之后的结果?(如下图所示https://imgchr.com/i/r5H1TH

本人是刚开始进行IMU+UWB室内定位项目的学生,看了您的源码之后受益良多,但有以上几个问题希望能得到解答,谢谢!

关于“MeasureNoiseVariance”这一常量的来源

您好!

在您的IMU_UWB的项目的主程序中有这样一个常量表示的UWB测量噪声的方差:
MeasureNoiseVariance = [2.98e-03, 2.9e-03,1.8e-03, 1.2e-03, 2.4e-03]; %%%% UWB Ranging noise

请问这个值是怎么得到的呢?是在静止的状态下长时间测量吗?

然后,同样是这个项目中,我有点不太理解其引用的gnss_imu_local_tan_example_settings这个函数中所设定的初始值为何是那样,比如加速度计与陀螺仪的噪声、偏置,还有速度位置均设置为100等等,这些也是在之前就已经校准得到的吗?

如果有方便的话劳烦您解决一下我的疑问,谢谢!

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