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Visual simultaneous localisation and map-building supported by structured landmarks

Robert Bączyk;  Andrzej Kasiński — 2010

International Journal of Applied Mathematics and Computer Science

Visual simultaneous localisation and map-building systems which take advantage of some landmarks other than point-wise environment features are not frequently reported. In the following paper the method of using the operational map of robot surrounding, which is complemented with visible structured passive landmarks, is described. These landmarks are used to improve self-localisation accuracy of the robot camera and to reduce the size of the Kalman-filter state-vector with respect to the vector...

Comparison of supervised learning methods for spike time coding in spiking neural networks

Andrzej Kasiński;  Filip Ponulak — 2006

International Journal of Applied Mathematics and Computer Science

In this review we focus our attention on supervised learning methods for spike time coding in Spiking Neural Networks (SNNs). This study is motivated by recent experimental results regarding information coding in biological neural systems, which suggest that precise timing of individual spikes may be essential for efficient computation in the brain. We are concerned with the fundamental question: What paradigms of neural temporal coding can be implemented with the recent learning methods? In order...

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