Comparative Evaluation of YOLO and Gemini AI Models for Road Damage Detection and Mapping

Efficient detection of road surface defects is vital for timely maintenance and traffic safety. This study introduces a novel AI-powered web framework, TriRoad AI, that integrates multiple versions of the You Only Look Once (YOLO) object detection algorithms—specifically YOLOv8 and YOLOv11—for autom...

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Bibliografski detalji

Glavni autori:	Zeynep Demirel, Shvan Tahir Nasraldeen, Öykü Pehlivan, Sarmad Shoman, Mustafa Albdairi, Ali Almusawi
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-07-01
Serija:	Future Transportation
Teme:	road damage detection YOLOv8 deep learning AI-based detection pothole detection crack detection
Online pristup:	https://www.mdpi.com/2673-7590/5/3/91
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