From Stationary to Nonstationary UAVs: Deep-Learning-Based Method for Vehicle Speed Estimation

From Stationary to Nonstationary UAVs: Deep-Learning-Based Method for Vehicle Speed Estimation

The development of smart cities relies on the implementation of cutting-edge technologies. Unmanned aerial vehicles (UAVs) and deep learning (DL) models are examples of such disruptive technologies with diverse industrial applications that are gaining traction. When it comes to road traffic monitori...

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Bibliografische gegevens
Hoofdauteurs: Muhammad Waqas Ahmed, Muhammad Adnan, Muhammad Ahmed, Davy Janssens, Geert Wets, Afzal Ahmed, Wim Ectors
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2024-12-01
Reeks:Algorithms
Onderwerpen:
UAV
drone
traffic monitoring
computer vision
YOLO
Online toegang:https://www.mdpi.com/1999-4893/17/12/558

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https://www.mdpi.com/1999-4893/17/12/558

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