@inproceedings{26af71557f794cad9623cd161fd3457c,
title = "Application of neural networks in mine detection",
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.",
author = "Andras Gyorgy and Zsuzsanna Puspoki and Tamas Barbarics and Jozsef Padanyi",
year = "2010",
language = "English (US)",
isbn = "9814291269",
series = "Mobile Robotics: Solutions and Challenges - Proceedings of the 12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009",
pages = "389--396",
booktitle = "Mobile Robotics",
note = "12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009 ; Conference date: 09-09-2009 Through 11-09-2009",
}