The `KalmanFilter` class in the `filterpy.kalman` module is a Python implementation of the Kalman filter, a popular algorithm used for state estimation and prediction in control systems and sensor measurements. This class provides methods to initialize the filter with user-defined parameters, update the filter with new measurements, and predict the future state based on the existing information. The `KalmanFilter` class allows users to configure the filter's behavior by setting parameters such as state transition matrix, measurement function, covariance matrices, and process noise. It also supports multiple types of input data, including vectors and matrices. The `KalmanFilter` class is a flexible and efficient tool for tasks such as tracking and sensor fusion in various fields such as robotics, aerospace, and signal processing.
Python KalmanFilter.KalmanFilter - 30 examples found. These are the top rated real world Python examples of filterpy.kalman.KalmanFilter.KalmanFilter extracted from open source projects. You can rate examples to help us improve the quality of examples.