Learning to Automatically Detect Features for Mobile Robots Using Second-Order Hidden Markov Models

Learning to Automatically Detect Features for Mobile Robots Using Second-Order Hidden Markov Models

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In this paper, we propose a new method based on Hidden Markov Models to interpret temporal sequences of sensor data from mobile robots to automatically detect features. Hidden Markov Models have been used for a long time in pattern recognition, especially in speech recognition. Their main advantages...

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Bibliographic Details
Main Authors:	Olivier Aycard, Jean-Francois Mari, Richard Washington
Format:	Article
Language:	English
Published:	SAGE Publishing 2004-12-01
Series:	International Journal of Advanced Robotic Systems
Online Access:	https://doi.org/10.5772/5816

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