Kalman Filter Tracking for Constant Velocity Motion Objects

Kalman filters are extensively utilized in modern control systems. This implementation demonstrates the application of Kalman filtering theory for tracking and predicting uniformly moving objects, enabling comparative analysis between theoretical predictions and actual measurement data. The approach holds significant value for both control theory education and practical motion tracking applications, featuring state prediction and measurement update cycles with noise handling capabilities.