Whelan, Thomas, Studli, Sonja, McDonald, John and Middleton, Richard H. (2012) Line point registration: A technique for enhancing robot localization in a soccer environment. In: RoboCup 2011: Robot Soccer World Cup XV pp 258-269. Lecture Notes in Computer Science book series (LNCS) (7416). Springer, pp. 258-269. ISBN 9783642320590
Preview
JM-Line-2012.pdf
Download (624kB) | Preview
Abstract
The Standard Platform League (SPL) provides an environment that is essentially static; with the exception of other robots and the audience, the area in which a robot is expected to localise itself is quite favourable. However, a large number of the predefined landmarks in the given world model can be perceived as ambiguous in many scenarios, with the prime example being field line markings. In this paper a technique is presented that implicitly disambiguates these detected field line objects in order to use them for localization purposes.
Item Type: | Book Section |
---|---|
Additional Information: | This is the postprint version of the published paper. Cite this paper as: Whelan T., Stüdli S., McDonald J., Middleton R.H. (2012) Line Point Registration: A Technique for Enhancing Robot Localization in a Soccer Environment. In: Röfer T., Mayer N.M., Savage J., Saranlı U. (eds) RoboCup 2011: Robot Soccer World Cup XV. RoboCup 2011. Lecture Notes in Computer Science, vol 7416. Springer, Berlin, Heidelberg |
Keywords: | Line Point Registration; Robot Localization; Robot Soccer; Standard Platform League (SPL); |
Academic Unit: | Faculty of Science and Engineering > Computer Science |
Item ID: | 8315 |
Identification Number: | 10.1007/978-3-642-32060-6_22 |
Depositing User: | John McDonald |
Date Deposited: | 13 Jun 2017 09:06 |
Publisher: | Springer |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/8315 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year