- Ingegneria Industriale & Ingegneria dell’Informazione per il territorio fiorentino
- Edited by Stefano Selleri, Alberto Tesi, Enrico Vicario
Sistema di visione artificiale per la sicurezza delle linee ferroviarie ad alta velocità
- Alberto Del Bimbo
- Marco Bertini
- © 2026 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-0975-5.19
The MICC center at the University of Florence develops computer vision systems based on machine learning and AI. A recent project (2019–2022), conducted with CINI and RFI, created an advanced vision system for a high-speed railway inspection drone. Using visible, infrared, and LiDAR sensors with deep learning algorithms, the system detects obstacles, people, and infrastructure anomalies to improve railway safety.
- Keywords:
- Computer Vision,
- Deep Learning,
- Railway Inspection Drone,
University of Florence, Italy - ORCID: 0000-0002-1052-8322
University of Florence, Italy - ORCID: 0000-0002-1364-218X
Chapter Information
Chapter Title
Sistema di visione artificiale per la sicurezza delle linee ferroviarie ad alta velocità
Authors
Alberto Del Bimbo, Marco Bertini
Language
Italian
DOI
10.36253/979-12-215-0975-5.19
Peer Reviewed
Publication Year
2026
Copyright Information
© 2026 Author(s)
Content License
Metadata License
Bibliographic Information
Book Title
Ingegneria Industriale & Ingegneria dell’Informazione per il territorio fiorentino
Book Subtitle
Ingegneria dell’Informazione - Volume 2
Editors
Stefano Selleri, Alberto Tesi, Enrico Vicario
Peer Reviewed
Number of Pages
230
Publication Year
2026
Copyright Information
© 2026 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press
DOI
10.36253/979-12-215-0975-5
ISBN Print
979-12-215-0974-8
eISBN (pdf)
979-12-215-0975-5
Series Title
Dialoghi con la società
Series ISSN
2975-0210
Series E-ISSN
2975-0334