Engineering the Future: A Deep Dive into Remote Inspection and Reality Capture for Railway Infrastructure Digitalization

Publication type: Book Chapter
Publication date: 2024-01-24
Springer Nature
SJR: —
CiteScore: —
Impact factor: —
ISSN: 27317269, 27317277
Abstract
The growing importance of the railway sector demands efficient inspection and maintenance. Traditional methods are labor-intensive and costly, causing operational disruptions. Advancements in computer vision and deep learning offer transformative potential for railway infrastructure management. This involves integrating remote inspection with reality capture models, envisaging the Bridge Information Modeling (BrIM) and Digital Twins (DT), promising improved precision, efficiency, and safety in railway operations. The paper explores the evolution of railway inspection, remote inspection, and reality capture technologies, addressing challenges and charting future research. This holistic approach caters to the railway sector's expanding needs, ensuring safe and effective infrastructure management.
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Cabral R., Ribeiro D., Rakoczy A. M. Engineering the Future: A Deep Dive into Remote Inspection and Reality Capture for Railway Infrastructure Digitalization // Beyond Digital Representation. 2024. pp. 229-256.
GOST all authors (up to 50) Copy
Cabral R., Ribeiro D., Rakoczy A. M. Engineering the Future: A Deep Dive into Remote Inspection and Reality Capture for Railway Infrastructure Digitalization // Beyond Digital Representation. 2024. pp. 229-256.
RIS |
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RIS Copy
TY - GENERIC
DO - 10.1007/978-3-031-49589-2_12
UR - https://link.springer.com/10.1007/978-3-031-49589-2_12
TI - Engineering the Future: A Deep Dive into Remote Inspection and Reality Capture for Railway Infrastructure Digitalization
T2 - Beyond Digital Representation
AU - Cabral, Rafael
AU - Ribeiro, Diogo
AU - Rakoczy, Anna M.
PY - 2024
DA - 2024/01/24
PB - Springer Nature
SP - 229-256
SN - 2731-7269
SN - 2731-7277
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2024_Cabral,
author = {Rafael Cabral and Diogo Ribeiro and Anna M. Rakoczy},
title = {Engineering the Future: A Deep Dive into Remote Inspection and Reality Capture for Railway Infrastructure Digitalization},
publisher = {Springer Nature},
year = {2024},
pages = {229--256},
month = {jan}
}