DocumentCode
2027093
Title
Fast and Robust Recognition of Field Line Intersections
Author
Herrero-Pérez, David ; Martínez-Barberá, Humberto
Author_Institution
Dept. of Inf. & Commun. Eng., Murcia Univ.
fYear
2006
fDate
26-27 Oct. 2006
Firstpage
115
Lastpage
119
Abstract
In some Robocup leagues, specially in the four-legged league, robots make use of coloured landmarks for localisation. Because these landmarks have no correlation with real soccer, it seems a natural approach to remove them. But for this to be a reality, there are some difficulties that need to be solved, mainly an efficient and robust field features detection and an efficient localisation technique to manage such type of information. In this paper we deal with an approach for field features detection based on finding intersections between field lines which runs at frame rate in the AIBO robots. We also present some experimental results of the vision system and a comparison of the traditional coloured landmark localisation and the field features only localisation, both using a fuzzy-Markov localisation technique
Keywords
SLAM (robots); image recognition; robot vision; AIBO robots; Robocup leagues; coloured landmark localisation; field feature detection; field line intersection recognition; four-legged league; fuzzy-Markov localisation; robot localisation; vision system; Cameras; Computer vision; Feature extraction; Filters; Object detection; Robot sensing systems; Robot vision systems; Robustness; Sensor phenomena and characterization; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics Symposium, 2006. LARS '06. IEEE 3rd Latin American
Conference_Location
Santiago
Print_ISBN
1-4244-0537-8
Electronic_ISBN
1-4244-0537-8
Type
conf
DOI
10.1109/LARS.2006.334320
Filename
4133822
Link To Document