Breve revisión sobre inventario automatizado de señalética con drones

  1. Satama Bermeo, Geovanny 1
  2. Caballero Martín, Daniel
  3. Affou, Hicham 1
  4. Ramos-Hernanz, Josean 1
  5. Aramendia, Iñigo 1
  6. Lopez Guede, Jose 1
  1. 1 Universidad del País Vasco (UPV/EHU)
Journal:
Jornadas de Automática
  1. Cruz Martín, Ana María (coord.)
  2. Arévalo Espejo, V. (coord.)
  3. Fernández Lozano, Juan Jesús (coord.)

ISSN: 3045-4093

Year of publication: 2024

Issue: 45

Type: Article

DOI: 10.17979/JA-CEA.2024.45.10907 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Abstract

Este artículo presenta una breve revisión sobre la generación automatizada de inventarios de señalización vial mediante drones y aprendizaje profundo, utilizando la metodología PRISMA. Se analizaron 30 artículos de bases de datos académicas como Google Scholar, Science Direct y Web of Science. Los estudios revisados destacan las ventajas del uso de drones para la captura de imágenes y datos Lidar, así como la aplicación de algoritmos de inteligencia artificial para el procesamiento y análisis de datos. La literatura muestra que estas tecnologías permiten una gestión más eficiente y precisa de la señalización vial, mejorando la seguridad y la planificación urbana. También se identifican desafíos y futuras líneas de investigación, como la integración de diferentes tipos de sensores y el desarrollo de modelos más robustos para la detección y clasificación de señalización.

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