Work

Unmanned Aerial Vehicles Data Model

Year: 2025

Type: conference-paper

DOI: 10.1109/lciot64881.2025.11118426

Authors: Pedro Henrique Morgan Pereira, Matheus Dussin Bampi, Maik Basso, Artur Martini da Rosa, Carlos Solon Soares Guimaraes, Edison Pignaton de Freitas

Institutions: Serviço Nacional de Aprendizagem Industrial, Universidade Federal do Rio Grande do Sul

Language: English

Topic: Aerospace and Aviation Technology

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4413319758

FWCI: 7.967

Cites: 11

Cited by: 3

Related to: 10