Vision Based Tracker for Dart-Catching Robot
Linderoth, Magnus LU ; Robertsson, Anders LU ; Åström, Karl LU
and Johansson, Rolf
LU
(2009)
9th IFAC International Symposium on Robot Control
In IFAC Proceedings Volumes (IFAC-PapersOnline)
42(16).
p.717-722
- Abstract
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1626564
- author
- Linderoth, Magnus
LU
; Robertsson, Anders
LU
; Åström, Karl
LU
and Johansson, Rolf
LU
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Dart catching, computer vision, camera calibration, state estimation
- in
- IFAC Proceedings Volumes (IFAC-PapersOnline)
- volume
- 42
- issue
- 16
- pages
- 717 - 722
- publisher
- IFAC Secretariat
- conference name
- 9th IFAC International Symposium on Robot Control
- conference location
- Gifu, Japan
- conference dates
- 2009-09-09
- external identifiers
-
- scopus:85006711877
- ISSN
- 2405-8963
- project
- ROSETTA
- RobotLab LTH
- language
- English
- LU publication?
- yes
- id
- ac765594-1787-4060-925e-3211e3fd42cb (old id 1626564)
- date added to LUP
- 2016-04-04 14:36:01
- date last changed
- 2023-04-09 09:20:15
@article{ac765594-1787-4060-925e-3211e3fd42cb,
abstract = {{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.}},
author = {{Linderoth, Magnus and Robertsson, Anders and Åström, Karl and Johansson, Rolf}},
issn = {{2405-8963}},
keywords = {{Dart catching; computer vision; camera calibration; state estimation}},
language = {{eng}},
number = {{16}},
pages = {{717--722}},
publisher = {{IFAC Secretariat}},
series = {{IFAC Proceedings Volumes (IFAC-PapersOnline)}},
title = {{Vision Based Tracker for Dart-Catching Robot}},
url = {{https://lup.lub.lu.se/search/files/63333263/3812688.pdf}},
volume = {{42}},
year = {{2009}},
}