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Autori principali: Cassity, Alyssa, Le, Hieu, Santos, Hernan, Priest, Erik, Tao, Jian
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2410.14140
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author Cassity, Alyssa
Le, Hieu
Santos, Hernan
Priest, Erik
Tao, Jian
author_facet Cassity, Alyssa
Le, Hieu
Santos, Hernan
Priest, Erik
Tao, Jian
contents The study focuses on developing a digital twin testbed tailored for public safety technologies, incorporating simulated wireless communication within the digital world. The integration enables rapid analysis of signal strength, facilitating effective communication among personnel during catastrophic incidents in the virtual environment. The virtual world also helps with the training of first responders. The digital environment is constructed using the actual training facility for first responders as a blueprint. Using the photo-reference method, we meticulously constructed all buildings and objects within this environment. These reconstructed models are precisely placed relative to their real-world counterparts. Subsequently, all structures and objects are integrated into the Unreal Engine (UE) to create an interactive environment tailored specifically to the requirements of first responders.
format Preprint
id arxiv_https___arxiv_org_abs_2410_14140
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication
Cassity, Alyssa
Le, Hieu
Santos, Hernan
Priest, Erik
Tao, Jian
Computers and Society
Networking and Internet Architecture
Signal Processing
The study focuses on developing a digital twin testbed tailored for public safety technologies, incorporating simulated wireless communication within the digital world. The integration enables rapid analysis of signal strength, facilitating effective communication among personnel during catastrophic incidents in the virtual environment. The virtual world also helps with the training of first responders. The digital environment is constructed using the actual training facility for first responders as a blueprint. Using the photo-reference method, we meticulously constructed all buildings and objects within this environment. These reconstructed models are precisely placed relative to their real-world counterparts. Subsequently, all structures and objects are integrated into the Unreal Engine (UE) to create an interactive environment tailored specifically to the requirements of first responders.
title Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication
topic Computers and Society
Networking and Internet Architecture
Signal Processing
url https://arxiv.org/abs/2410.14140