PVswin-YOLOv8s: UAV-Based Pedestrian and Vehicle Detection for Traffic Management in Smart Cities Using Improved YOLOv8

PVswin-YOLOv8s: UAV-Based Pedestrian and Vehicle Detection for Traffic Management in Smart Cities Using Improved YOLOv8

In smart cities, effective traffic congestion management hinges on adept pedestrian and vehicle detection. Unmanned Aerial Vehicles (UAVs) offer a solution with mobility, cost-effectiveness, and a wide field of view, and yet, optimizing recognition models is crucial to surmounting challenges posed b...

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Bibliographic Details
Main Authors: Noor Ul Ain Tahir, Zhe Long, Zuping Zhang, Muhammad Asim, Mohammed ELAffendi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Drones
Subjects:
YOLOv8
swin transformer
CBAM
soft-NMS
UAVs
pedestrian and vehicle detection
Online Access:https://www.mdpi.com/2504-446X/8/3/84

Internet

https://www.mdpi.com/2504-446X/8/3/84

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