A review of applications of visual inspection technology based on image processing in the railway industry

S Liu, Q Wang, Y Luo - Transportation Safety and Environment, 2019 - academic.oup.com
In order to ensure the safety of railway transportation, it is necessary to regularly check for
faults and defects in the railway system. Visual inspection technology is conducive to …

[HTML][HTML] Point cloud semantic segmentation of complex railway environments using deep learning

J Grandio, B Riveiro, M Soilán, P Arias - Automation in Construction, 2022 - Elsevier
Safety of transportation networks is of utmost importance for our society. With the emergency
of digitalization, the railway sector is accelerating the automation in inventory and inspection …

Data-driven optimization of railway maintenance for track geometry

S Sharma, Y Cui, Q He, R Mohammadi, Z Li - Transportation Research Part …, 2018 - Elsevier
Railway big data technologies are transforming the existing track inspection and
maintenance policy deployed for railroads in North America. This paper develops a data …

Develo** machine learning-based models for railway inspection

C Yang, Y Sun, C Ladubec, Y Liu - Applied Sciences, 2020 - mdpi.com
Smart railway maintenance is crucial to the safety and efficiency of railway operations.
Successful deployment of technologies such as condition-based monitoring and predictive …

Automatic creation of as-is building information model from single-track railway tunnel point clouds

YJ Cheng, WG Qiu, DY Duan - Automation in Construction, 2019 - Elsevier
The growing use of Building Information Model (BIM) is propelling an increase in demand for
creating or updating as-is models for existing tunnels. However, the geometric modeling can …

Automated recognition of railroad infrastructure in rural areas from LiDAR data

M Arastounia - Remote Sensing, 2015 - mdpi.com
This study is aimed at develo** automated methods to recognize railroad infrastructure
from 3D LIDAR data. Railroad infrastructure includes rail tracks, contact cables, catenary …

[HTML][HTML] Multimodal deep learning for point cloud panoptic segmentation of railway environments

J Grandio, B Riveiro, D Lamas, P Arias - Automation in Construction, 2023 - Elsevier
The demand for transportation asset digitalisation has significantly increased over the years.
For this purpose, mobile map** systems (MMSs) are among the most popular …

Fully automated methodology for the delineation of railway lanes and the generation of IFC alignment models using 3D point cloud data

M Soilán, A Nóvoa, A Sánchez-Rodríguez… - Automation in …, 2021 - Elsevier
This work presents a fully automated methodology that, in a first step, is able to reliably
extract and delineate the position and geometry of the rails from three-dimensional (3D) …

Mobile LiDAR system: New possibilities for the documentation and dissemination of large cultural heritage sites

P Rodríguez-Gonzálvez… - Remote Sensing, 2017 - mdpi.com
Mobile LiDAR System is an emerging technology that combines multiple sensors. Active
sensors, together with Inertial and Global Navigation System, are synchronized on a mobile …

Point Cloud Analysis of Railway Infrastructure: A Systematic Literature Review

B Dekker, B Ton, J Meijer, N Bouali, J Linssen… - IEEE …, 2023 - ieeexplore.ieee.org
Digitalisation in railway networks harnesses digital technologies to optimise operations,
leading to enhanced efficiency, and reduced energy consumption. By analysing real-time …