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 :
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