| Autor: |
Bredenfeld, Ansgar, Jacoff, Adam, Noda, Itsuki, Takahashi, Yasutake, Sridharan, Mohan, Stone, Peter |
| Zdroj: |
RoboCup 2005: Robot Soccer World Cup IX; 2006, p673-681, 9p |
| Abstrakt: |
Color calibration is a time-consuming, and therefore costly requirement for most robot teams at RoboCup. This paper presents an approach for autonomous color learning on-board a mobile robot with limited computational and memory resources. It works without any labeled training data and trains autonomously from a color-coded map of its environment. The process is fully implemented, completely autonomous, and provides high degree of segmentation accuracy. Most importantly, it dramatically reduces the time needed to train a color map in a new environment. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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