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Vision Based Tracker for Dart-Catching Robot

In English

Författare

Summary, in English

This paper describes how high-speed computer vision can be used in a motion control application. The specific application investigated is a dart catching robot. Computer vision is used to detect a flying dart and a filtering algorithm predicts its future trajectory. This will give data to a robot controller allowing it to catch the dart. The performance of the implemented components indicates that the dart catching application can be made to work well. Conclusions are also made about what features of the system are critical for performance.

Publiceringsår

2009

Språk

Engelska

Sidor

717-722

Publikation/Tidskrift/Serie

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volym

42

Issue

16

Dokumenttyp

Artikel i tidskrift

Förlag

IFAC Secretariat

Ämne

  • Mathematics
  • Computer Vision and Robotics (Autonomous Systems)
  • Control Engineering

Nyckelord

  • Dart catching
  • computer vision
  • camera calibration
  • state estimation

Conference name

9th IFAC International Symposium on Robot Control

Conference date

2009-09-09

Conference place

Gifu, Japan

Status

Published

Projekt

  • ROSETTA
  • Robotics Lab LTH

Forskningsgrupp

  • LCCC

ISBN/ISSN/Övrigt

  • ISSN: 2405-8963