Application of neural networks in mine detection

Andras Gyorgy, Zsuzsanna Puspoki, Tamas Barbarics, Jozsef Padanyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The main goal of this paper is to apply a method that can make minesweeping safer by no longer demanding human assistance for the localization of landmines. The objective is to create a machine that can determine the place of specific landmine types by their geometric features. For this, the required knowledge is acquired by methods based on artificial neural networks. The result of our work is the simulation of the algorithm of an intelligent robot's pattern recognition module that can achieve the first step of demining an area, which is localizing mines without risking human life.

Original languageEnglish (US)
Title of host publicationMobile Robotics
Subtitle of host publicationSolutions and Challenges - Proceedings of the 12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009
Pages389-396
Number of pages8
StatePublished - 2010
Event12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009 - Istanbul, Turkey
Duration: Sep 9 2009Sep 11 2009

Publication series

NameMobile Robotics: Solutions and Challenges - Proceedings of the 12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009

Other

Other12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009
Country/TerritoryTurkey
CityIstanbul
Period9/9/099/11/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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