Kalman filtering has long served as a foundational tool for state estimation in dynamic systems, offering a robust and efficient means of filtering noise from measured signals. In the realm of ...

在知乎翻阅了大量关于“如何理解卡尔曼滤波”的回答，我发现大部分回答都分为两类，一类基于纯粹的矩阵运算技巧，直接给出离散形式的五条经典公式，告诉你“代码就这么写”，另一类则基于最小均方误差、空间投影等不同估计目标出发进行推导，或者仅解释了一维的情况，缺乏统一性和一般性。很少有人讲清楚，我们是如何描述带噪声的物理世界的连续微分方程，以及如何一步步推导出工程算法里 ...

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...

In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. Prior knowledge needed: ECEA 5730, ECEA 5731, a Bachelor’s degree in ...

The automated driving developer community typically uses Eigen*, a C++ math library, for the matrix operations required by the Extended Kalman Filter algorithm. EKF usually involves many small ...