| Art der Veröffentlichung: |
Artikel in Konferenzband |
| Autor: |
U. Frese, T. Laue |
| Titel: |
(A) VISION FOR 2050: The Road Towards Image Understanding for a Human–Robot Soccer Match |
| Buch / Sammlungs-Titel: |
Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics |
| Erscheinungsjahr: |
2008 |
| Abstract / Kurzbeschreibung: |
We believe it is possible to create the visual subsystem needed for the RoboCup 2050 challenge – a soccer
match between humans and robots – within the next decade. In this position paper, we argue, that the basic
techniques are available, but the main challenge will be to achieve the necessary robustness. We propose to
address this challenge through the use of probabilistically modeled context, so for instance a visually indistinct
circle is accepted as the ball, if it fits well with the ball’s motion model and vice versa.
Our vision is accompanied by a sequence of (partially already conducted) experiments for its verification. In
these experiments, a human soccer player carries a helmet with a camera and an inertial sensor and the vision
system has to extract all information from that data, a humanoid robot would need to take the human’s place. |
| Internet: |
http://www.informatik.uni-bremen.de/agebv/en/Vision2050 |
| PDF Version: |
http://www.informatik.uni-bremen.de/agebv/downloads/published/freseicinco08.pdf |
| Schlagworte: |
sport robotics computer vision ball tracking RoboCup |
| Anmerkung / Hinweis: |
(read Frese et al., ECEASST 2013 instead) |
| Status: |
Reviewed |
| Letzte Aktualisierung: |
13. 11. 2013 |
