Minefield mapping using distributed mobile sensors

Alaa Khamis*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

MineProbe: A Distributed Mobile Sensor System for Minefield Reconnaissance and Mapping in Egypt is an applied research project that aims at developing a novel minefield reconnaissance and mapping system in Egypt focusing on North West Coast (NWC) as location of the action. MineProbe system encompasses a number of spatially distributed unmanned vehicles equipped with different types of sensors and fusion modules to detect landmines and unexploded ordnances (UXOs). This system provides a minefield map in which the locations of the detected landmines and UXOs are identified. This map can be used later by the Army engineers to destroy or deactivate the identified ordnances in the field. This paper provides an overview on MineProbe project and summarizes the key findings obtained so far from this ongoing project.

Original languageEnglish
Title of host publicationInternational Conference on Robotics and Automation for Humanitarian Applications, RAHA 2016 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509052035
DOIs
StatePublished - 18 May 2017
Externally publishedYes
Event1st International Conference on Robotics and Automation for Humanitarian Applications, RAHA 2016 - Kerala, India
Duration: 18 Dec 201620 Dec 2016

Publication series

NameInternational Conference on Robotics and Automation for Humanitarian Applications, RAHA 2016 - Conference Proceedings

Conference

Conference1st International Conference on Robotics and Automation for Humanitarian Applications, RAHA 2016
Country/TerritoryIndia
CityKerala
Period18/12/1620/12/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • data fusion
  • humanitarin demining
  • landmine detection
  • minfield mapping
  • unmanned ground vehciles

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization
  • Human Factors and Ergonomics
  • Sociology and Political Science

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