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Autores principales: Rivera, Josue N., Sun, Dengfeng
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2403.11086
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author Rivera, Josue N.
Sun, Dengfeng
author_facet Rivera, Josue N.
Sun, Dengfeng
contents Aerial cargo transport is anticipated to play a pivotal role in the distribution of goods within urban environments. The shift is propelled by the surge in e-commerce, the imperative to deliver essential supplies to isolated areas, and the growing demand for expedited and more accessible deliveries. Our research introduces a quantifiable standard for defining routing restrictions for Unmanned Aircraft System Traffic Management (UTM) using the concept of repulsive potential fields. Furthermore, we propose a scalable infrastructure that facilitates collaborative routing of cargo Unmanned Aerial Vehicles (UAVs) by independent shareholders. The practicality of the infrastructure is validated through a functional prototype implemented at a national scale.
format Preprint
id arxiv_https___arxiv_org_abs_2403_11086
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Air Traffic Management for Collaborative Routing of Unmanned Aerial Vehicles via Potential Fields
Rivera, Josue N.
Sun, Dengfeng
Systems and Control
Aerial cargo transport is anticipated to play a pivotal role in the distribution of goods within urban environments. The shift is propelled by the surge in e-commerce, the imperative to deliver essential supplies to isolated areas, and the growing demand for expedited and more accessible deliveries. Our research introduces a quantifiable standard for defining routing restrictions for Unmanned Aircraft System Traffic Management (UTM) using the concept of repulsive potential fields. Furthermore, we propose a scalable infrastructure that facilitates collaborative routing of cargo Unmanned Aerial Vehicles (UAVs) by independent shareholders. The practicality of the infrastructure is validated through a functional prototype implemented at a national scale.
title Air Traffic Management for Collaborative Routing of Unmanned Aerial Vehicles via Potential Fields
topic Systems and Control
url https://arxiv.org/abs/2403.11086