Trajectory Estimation of a Flying Object using High Speed Vision for Catching

R. Herrejon, S. Kagami, and K. Hashimoto (Japan)


Target tracking, three dimensional reconstruction, high speed vision, visual servoing, robot vision.


This paper presents the current progress on a trajectory estimation of a flying object for a robotic catching system, using general purpose and readily available hardware. A recursive least squares (RLS) algorithm is used to extract and predict the position of a flying object in a 3D environment with the information gathered from only one camera.

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