Comparative Evaluation of Deep Learning Object Detectors for Real-Time Parking Occupancy Detection Under Variable Lighting Conditions

Efficient parking space management in urban settings represents a growing challenge owing to the sustained increase in the vehicle fleet. This study presents a comparative evaluation of five object detection architectures —YOLOv8s, YOLOv11s, YOLOv12s, RT-DETR-L and Faster R-CNN—applied to real-time...

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Autores principales:	Fernando G. Yunganina Mamani, Guver Leon Cori Coarite, Jhon Alexander Chambi Vilca, Ángel Rosendo Condori-Coaquira, David Mamani-Pari, Milton Edward Humpiri Flores, Esteban Tocto-Cano
Formato:	Artículo
Lenguaje:	inglés
Publicado:	2026
Materias:	parking occupancy detection real-time object detection YOLOv8 YOLOv11 Faster R-CNN RT-DETR transfer learning variable lighting conditions nighttime detection data partitioning computational efficiency parking space management ByteTrack university parking lots Advanced Neural Network Applications Smart Parking Systems Research Video Surveillance and Tracking Methods
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