Parking space detection using computer vision: a systematic review of the literature

Introduction: Automated parking-space detection is an increasingly important component of intelligent urban mobility because inefficient parking searches contribute to travel delays, congestion, fuel consumption, and emissions. Methods: This systematic literature review, conducted using Kitchenham's...

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Autores principales:	Gary Fernando 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 de revisión
Lenguaje:	inglés
Publicado:	2026
Materias:	parking space detection autonomous parking YOLO object detection fog detection occlusion benchmark dataset reproducibility performance reporting environmental robustness Smart Parking Systems Research Advanced Neural Network Applications Autonomous Vehicle Technology and Safety
Acceso en línea:	Enlace permanente (DOI o Handle) Ver en el sistema de origen
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