Work

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

Year: 2025

Type: conference-paper

Source: IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

DOI: 10.1109/vrw66409.2025.00480

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

Institution: Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Ministry of Education

OpenAlex ID: W4409760924

FWCI:

Cites: 4

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Related to: 10