ARES: Augmented Reality and AI Assistance Technologies for Safety and Efficiency Optimization in Explosive Ordnance Exploration

Authors

Paul Chojecki (ORCID: https://orcid.org/0000-0002-8807-0008)
Mustafa Lafci
Mykyta Kovalenko (ORCID: https://orcid.org/0000-0001-8285-5173)
Sebastian Bosse (ORCID: https://orcid.org/0000-0002-8104-3904)
David Przewozny (ORCID: https://orcid.org/0000-0002-8459-9182)
W. Süß
Pia Packmohr
Hoa Van Thanh
Laura Dreßler-Pasenau
Stefan Häber

Institutions

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (DE)
Sensys Networks (United States) (US)

Publication Details

Published: 2025-03-08
DOI: https://doi.org/10.1109/vrw66409.2025.00480
Primary Topic: Reservoir Engineering and Simulation Methods
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Ministry of Education

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article

ARES: Augmented Reality and AI Assistance Technologies for Safety and Efficiency Optimization in Explosive Ordnance Exploration

Paul Chojecki, Mustafa Lafci, Mykyta Kovalenko, Sebastian Bosse et al.

Mar 8, 2025

Reservoir Engineering and Simulation Methods

article

ARES: Augmented Reality and AI Assistance Technologies for Safety and Efficiency Optimization in Explosive Ordnance Exploration

Paul Chojecki, Mustafa Lafci, Mykyta Kovalenko, Sebastian Bosse, David Przewozny, W. Süß, Pia Packmohr, Hoa Van Thanh, Laura Dreßler-Pasenau, Stefan Häber

March 8, 2025article en

Abstract

No abstract available for this paper.

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (DE), Sensys Networks (United States) (US)

Ministry of Education

Openalex Percentile: Top 89%

Reservoir Engineering and Simulation Methods

DOI Source OpenAlex

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