Vision Based Tracker for Dart Catching Robot
(2008) In MSc ThesesDepartment of Automatic Control
- Abstract
- The objective of this thesis has been to develop the foundation for a robot system that catches darts. A dart board is to be mounted on a robot. When a dart is thrown at the board, it is detected by cameras, and an algorithm predicts where the dart will hit the board. The goal is then to move the board in such a way that the dart hits at the desired coordinate, typically the bull's eye. This report describes the different components developed to realize this system, including image acquisition, camera calibration, image analysis and modeling and estimation of the dart trajectory.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8847666
- author
- Linderoth, Magnus
- supervisor
- organization
- year
- 2008
- type
- H3 - Professional qualifications (4 Years - )
- subject
- keywords
- state estimation., camera calibration, computer vision, Dart catching
- publication/series
- MSc Theses
- report number
- TFRT-5830
- ISSN
- 0280-5316
- language
- English
- id
- 8847666
- date added to LUP
- 2016-03-17 10:22:25
- date last changed
- 2016-03-17 10:22:25
@misc{8847666, abstract = {{The objective of this thesis has been to develop the foundation for a robot system that catches darts. A dart board is to be mounted on a robot. When a dart is thrown at the board, it is detected by cameras, and an algorithm predicts where the dart will hit the board. The goal is then to move the board in such a way that the dart hits at the desired coordinate, typically the bull's eye. This report describes the different components developed to realize this system, including image acquisition, camera calibration, image analysis and modeling and estimation of the dart trajectory.}}, author = {{Linderoth, Magnus}}, issn = {{0280-5316}}, language = {{eng}}, note = {{Student Paper}}, series = {{MSc Theses}}, title = {{Vision Based Tracker for Dart Catching Robot}}, year = {{2008}}, }