Keras
Machine Learning
A recursive algorithm that uses a series of measurements observed over time to estimate unknown variables more precisely than using single measurements alone.
Detailed Explanation
Kalman Filters are algorithms that iteratively process noisy and uncertain data to estimate the true state of a system over time. By combining prior predictions with new measurements, they minimize estimation errors, making them essential for real-time applications such as navigation, robotics, and aerospace. They effectively improve accuracy by continuously updating estimates based on incoming data.
Use Cases
- •Using Kalman Filters to track a drone’s position in real-time improves navigation accuracy amid sensor noise.
Related Terms
Other terms in the Machine Learning category