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Efficient Algorithms for the Planning of Some Intelligent Vehicles Used for the Detection and Extinction of FireValeriu LUPU
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fire, extinction, intelligent machines, computer vision, parallel programming
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About this article
Date of Publication: 2005-04-02
Volume 5, Issue 1, Year 2005, On page(s): 75 - 80
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned
This article presents efficient algorithms for the planning of some vehicles that have the mission to detect and extinct a fire. The machines work in a varied land, with hills and valleys, with holes, cliffs, mined land and with other obstacles they may run into their way (this obstacles are from the beginning in the studied land or they can appear instantly), and whom the machine must avoid. The machines can depart all at the same moment or they can leave one at a moment. The machines can meet each other on their way but they must avoid the collisions by communicating with the server. The machines are equipped with complex sensorial systems like video cameras, transducers, proximity sensors (thermics, smoke, gases, etc.), and neuro-fuzzy logic. There are used rapid sequential algorithms of the Strassen and Winograd for the matrices multiplication (using parallel calculus) and the Dijkstras algorithm to compute the optimum way between two points using parallel programming.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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