Analysis of Deep Learning Techniques for Vehicle Detection and Reidentification Using Data from Multiple Drones and Public Datasets

Analysis of Deep Learning Techniques for Vehicle Detection and Reidentification Using Data from Multiple Drones and Public Datasets

Abstract The detection and re-identification of vehicles in dynamic environments, such as highways monitored by a swarm of drones, presents significant challenges, particularly due to the variability of images captured from different angles and under various conditions. This scenario necessitates th...

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Bibliographic Details
Main Authors: FELIPE P.A. EUPHRÁSIO, RAFAEL M. DE ANDRADE, ELCIO H. SHIGUEMORI, LIANGRID L. SILVA, MOISÉS JOSÉ S. FREITAS, NATHAN AUGUSTO Z. XAVIER, ARGEMIRO S.S. SOBRINHO
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2025-03-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Convolutional Neural Network
Detection
Tracking
Re-ID of Vehicles
Multiples UAVs
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025000201701&lng=en&tlng=en
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