Trajectory estimation of a flying object using high speed vision for catching

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 10th IASTED International Conference on Control and Applications, CA 2008
Pages219-224
Number of pages6
Publication statusPublished - 2008 Dec 1
Event10th IASTED International Conference on Control and Applications, CA 2008 - Quebec City, QC, United States
Duration: 2008 May 262008 May 28

Publication series

NameProceedings of the 10th IASTED International Conference on Control and Applications, CA 2008

Other

Other10th IASTED International Conference on Control and Applications, CA 2008
CountryUnited States
CityQuebec City, QC
Period08/5/2608/5/28

Keywords

  • High-speed vision
  • Robot vision
  • Target tracking
  • Three dimensional reconstruction
  • Visual servoing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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