Benchmarking YOLOv8 to YOLOv11 Architectures for Real-Time Traffic Sign Recognition in Embedded 1:10 Scale Autonomous Vehicles

Traffic sign recognition is still one of the challenging aspects of intelligent vehicle systems, mainly when processor or memory resources are limited. In this work, real-time traffic sign detection was evaluated using five YOLO model variants—Nano, Small, Medium, Large, and XLarge—across versions 8...

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Egile Nagusiak:	Rafael Reveles-Martínez, Hamurabi Gamboa-Rosales, Erika Sánchez-Femat, Javier Saldívar-Pérez, Teodoro Ibarra-Pérez, Luis Carlos Reveles-Gómez, Omar A. Guirette-Barbosa, Jorge I. Galván-Tejada, Carlos E. Galván-Tejada, Huizilopoztli Luna-García, José M. Celaya-Padilla
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-11-01
Saila:	Technologies
Gaiak:	traffic sign recognition YOLOv8 YOLOv11 embedded systems autonomous vehicles edge AI
Sarrera elektronikoa:	https://www.mdpi.com/2227-7080/13/11/531
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