Semantic Segmentation of Terrestrial Laser Scans of Railway Catenary Arches: A Use Case Perspective

Semantic Segmentation of Terrestrial Laser Scans of Railway Catenary Arches: A Use Case Perspective

Having access to accurate and recent <i>digital twins</i> of infrastructure assets benefits the renovation, maintenance, condition monitoring, and construction planning of infrastructural projects. There are many cases where such a digital twin does not yet exist, such as for legacy stru...

Full description

Bibliographic Details
Main Authors: Bram Ton, Faizan Ahmed, Jeroen Linssen
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
semantic segmentation
point cloud
railway infrastructure
deep learning
terrestrial laser scanner
catenary arch
Online Access:https://www.mdpi.com/1424-8220/23/1/222

Internet

https://www.mdpi.com/1424-8220/23/1/222

Similar Items