Utilization of GIS and Augmented Reality for Demining and Route Planning in Dangerous Spaces

The article is devoted to the system of finding routes of optimal passage through dangerous spaces with explosive objects for demining or safe passage to provide this information to the sapper using the format of an interactive map or augmented reality. The peculiarities of route construction algorithms, which can potentially be used for this task, are analyzed. The criteria and tasks of route creation in dangerous zones were developed and studied. Corresponding mathematical statements are described. The main features of the use of augmented reality for providing information in systems with increased danger for the operator are presented and discussed. The possibility of determining the locations of explosive objects using computer vision is discussed.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/dessert65323.2024.11122134
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

Utilization of GIS and Augmented Reality for Demining and Route Planning in Dangerous Spaces

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Geological Modeling and Analysis
article

Utilization of GIS and Augmented Reality for Demining and Route Planning in Dangerous Spaces

Mykola Kasatkin, Oleh Kompaniiets, S. V. Rudakov, O. Oliinyk, Ihor Kliushnikov, Vyacheslav Kharchenko
article en

Abstract

The article is devoted to the system of finding routes of optimal passage through dangerous spaces with explosive objects for demining or safe passage to provide this information to the sapper using the format of an interactive map or augmented reality. The peculiarities of route construction algorithms, which can potentially be used for this task, are analyzed. The criteria and tasks of route creation in dangerous zones were developed and studied. Corresponding mathematical statements are described. The main features of the use of augmented reality for providing information in systems with increased danger for the operator are presented and discussed. The possibility of determining the locations of explosive objects using computer vision is discussed.

Simon Kuznets Kharkiv National University of Economics (UA), National Aerospace University – Kharkiv Aviation Institute (UA), Ivan Kozhedub Kharkiv National Air Force University (UA), National University of Civil Protection of Ukraine (UA)
Sustainable cities and communities
Openalex Percentile: Top 73%
Geological Modeling and Analysis
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