卡尔曼滤波器 Resources

Showing items tagged with "卡尔曼滤波器"

The Kalman Filter is an optimal recursive data processing algorithm that provides the most efficient solution for a wide range of problems. This algorithm has maintained over 30 years of extensive applications including robotics navigation, control systems, sensor data fusion, military radar systems, and missile tracking. In recent years, it has been increasingly applied to computer vision tasks such as facial recognition, image segmentation, and edge detection. The algorithm's core implementation involves two main phases: prediction (using system dynamics) and update (incorporating new measurements), making it exceptionally effective for real-time data processing with noisy measurements.

MATLAB 192 views Tagged