Following Fast-Dynamic Targets With Only Slow And Delayed Visual Feedback—A Kalman Filter and Model-Based Prediction Approach

We propose a new framework with Kalman filters and multirate model-based prediction (1) to reconstruct fast-sampled 3D target position and velocity data, and (2) to compensate the time delay for general robotic motion profiles