Bounce Mark Visualization System for Ball Sports Judgement Using High-speed Drop Location Prediction and Preceding Mirror Control

Automation of line judgment in tennis enhances the fairness of the game. However, conventional judgment assistance system based on three-dimensional trajectories can cause discrepancies with the actual bounce mark of the ball. Therefore, we propose a ball mark visualization system using high-speed drop location prediction and preceding mirror control. High-resolution imaging toward the predicted drop location using rotational mirrors facilitates visualization of the ball mark simply by comparison with the image after bouncing. We have experimentally evaluated an accuracy of the drop location prediction and response performance of the rotational mirrors. We also demonstrated the validity of the ball mark visualization on artificial turf.