The purpose of this work is to give a neural algorithm that allows a controller to determine robot's location within an environment like a building, by observing through a camera some elements of the rooms, as for instance the ceiling or the floor; it is natural to suppose that different parts of the digital image sequence coming from the camera would contain less or more useful information to the end of robot motion control: this suggests that in order to improve the efficiency of the control system and to reduce the size of the incoming data, it would be useful to perform a non-uniform image sampling, that is, to extract from the original image some features computed on a number of images' regions.
Non-uniform image sampling for robot motion control by the GFS neural algorithm / Fiori, Simone; A., Faustini; P., Burrascano. - 3:(1999), pp. 2057-2060.
Non-uniform image sampling for robot motion control by the GFS neural algorithm
FIORI, Simone;
1999-01-01
Abstract
The purpose of this work is to give a neural algorithm that allows a controller to determine robot's location within an environment like a building, by observing through a camera some elements of the rooms, as for instance the ceiling or the floor; it is natural to suppose that different parts of the digital image sequence coming from the camera would contain less or more useful information to the end of robot motion control: this suggests that in order to improve the efficiency of the control system and to reduce the size of the incoming data, it would be useful to perform a non-uniform image sampling, that is, to extract from the original image some features computed on a number of images' regions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
