Title :
Movement persuit control of an offshore automated platform via a RAM-based neural network
Author :
Horacio L. Franca;Joäo Carlos P. da Silva;Omar Lengerke;Max S. Dutra;Massimo De Gregorio;Felipe M. G. Franca
Author_Institution :
Computer Science Department, Mathematics Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
The reproduction of the movements of a ship by automated platforms, without the use of sensors providing exact data related to the numeric variables involved, is a non-trivial matter. The creation of an artificial vision system that can follow the cadence of said ship, in six axes of freedom, is the goal of this research. Considering that a real time response is a requisite in this case, it was decided to adopt a Boolean artificial neural network system that could identify and follow arbitrary interest points that could define, as a group, a model of the movement of an observed vessel. This paper describes the development of a prototype based on the Boolean perceptron model WiSARD (Wilkie, Stonham and Aleksander´s Recognition Device), that is being implemented in the C programming language on a desktop computer using a regular webcam as input.
Keywords :
"Marine vehicles","Cranes","Containers","Robots","Neurons","Real time systems","Training"
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707913