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

نویسندگان

  • Rafael Herrejon
  • Shingo Kagami
  • Koichi Hashimoto
چکیده

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. Fig. 1. 3D tracking and catching task.

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تاریخ انتشار 2008