Coevolution Based Adaptive Monte Carlo Localization (CEAMCL)
An adaptive Monte Carlo localization algorithm based on coevolution mechanism of ecological species is proposed. Samples are clustered into species, each of which represents a hypothesis of the robot's pose. Since the coevolution between the species ensures that the multiple distinct hypotheses...
Главные авторы: | , |
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Формат: | Статья |
Язык: | English |
Опубликовано: |
SAGE Publishing
2004-09-01
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Серии: | International Journal of Advanced Robotic Systems |
Online-ссылка: | https://doi.org/10.5772/5634 |
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Coevolution Based Adaptive Monte Carlo Localization (CEAMCL)
Опубликовано 2008-11-01
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