Comparative Performance Analysis of YOLOv5 and YOLOv8 for Aerial Surveillance in Smart Traffic Management
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Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Detection and classification of vehicles in various traffic conditions are critical to advances in traffic monitoring and autonomous vehicle technologies. This study addresses the need for more accurate and efficient vehicle detection algorithms by evaluating the performance of YOLOv5 and YOLOv8 object detection models. The smallest and largest submodels (YOLOv5s, YOLOv5x, YOLOv8s, and YOLOv8x) were tested using images captured under extreme conditions, including nighttime and high-altitude drone images. The methodology involves systematically comparing the detection accuracy and inference speed of these models. The results revealed that the 'x' submodels outperformed the 's' submodels in terms of detection accuracy across various scenarios. In particular, YOLOv8x demonstrated high detection and classification performance in complex conditions, such as images with varying light filters and dark backgrounds. Conversely, the 's' submodels, although significantly faster, exhibited lower detection accuracy. Additionally, YOLOv8 models outperformed YOLOv5 models across all performance metrics, with YOLOv8x providing the highest accuracy. The study concludes that while there is a trade-off between detection accuracy and inference speed, the YOLOv8x model offers the best balance for applications that require high precision in vehicle detection. These findings provide valuable insights into selecting the appropriate model according to specific application requirements, ultimately contributing to the development of traffic monitoring and autonomous vehicle systems. © 2024 IEEE.
Açıklama
IEEE SMC; IEEE Turkiye Section
2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 16 October 2024 through 18 October 2024 -- Ankara -- 204562
2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 16 October 2024 through 18 October 2024 -- Ankara -- 204562
Anahtar Kelimeler
deep learning, drone-based monitoring, intelligent transportation systems, vehicle detection, YOLO
Kaynak
2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024
WoS Q Değeri
Scopus Q Değeri
N/A
