Next Article in Journal
A First Tentative for Simultaneous Detection of Fungicides in Model and Real Wines by Microwave Sensor Coupled to Molecularly Imprinted Sol-Gel Polymers
Previous Article in Journal
Inertial Sensors—Applications and Challenges in a Nutshell
Article

Automatic Extraction of Power Cables Location in Railways Using Surface LiDAR Systems

1
Módulo de Investigación en Cibernética, University of León, Campus de Vegazana S/N, 24071 León, Spain
2
Teléfonos, Líneas y Centrales S.A. (Telice S.A.), Polígono Industrial de Onzonilla Fase-II, Calle C, Parcela M-24, 24391 Ribaseca, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2020, 20(21), 6222; https://doi.org/10.3390/s20216222
Received: 4 October 2020 / Revised: 28 October 2020 / Accepted: 29 October 2020 / Published: 31 October 2020
(This article belongs to the Section Remote Sensors)
The assembly and maintenance of electrified railway systems is of vital importance for its correct operation. Contact wires are critical elements since the correct collection of energy from trains through pantographs depends on them. Periodical inspection of the state of these installations is essential. This task traditionally implies a heavy manual workload subject to errors. A new system that allows one to check the state (height and stagger) of contact and messenger wires is presented on this article blueA new method based on seven steps for identifying the contact wires and measuring their height and stagger from point clouds recorded by means of a LiDAR system is presented. This system can be used both in assembly and maintenance phases, as well as afterwards, allowing the analysis of point clouds previously recorded. The new method was evaluated in both test bench and real environments against the commonly used measurement method. Results with the comparison between this new system and the commonly used measurement method in both test bench and real railway environments are presented. Results of this comparison show differences of less than a centimetre on average and the amount of time spent for the measuring phase is significantly decreased and not prone to human errors. View Full-Text
Keywords: railway; overhead contact line; LiDAR; automatic point cloud analysis railway; overhead contact line; LiDAR; automatic point cloud analysis
Show Figures

Figure 1

MDPI and ACS Style

Gutiérrez-Fernández, A.; Fernández-Llamas, C.; Matellán-Olivera, V.; Suárez-González, A. Automatic Extraction of Power Cables Location in Railways Using Surface LiDAR Systems. Sensors 2020, 20, 6222. https://doi.org/10.3390/s20216222

AMA Style

Gutiérrez-Fernández A, Fernández-Llamas C, Matellán-Olivera V, Suárez-González A. Automatic Extraction of Power Cables Location in Railways Using Surface LiDAR Systems. Sensors. 2020; 20(21):6222. https://doi.org/10.3390/s20216222

Chicago/Turabian Style

Gutiérrez-Fernández, Alexis; Fernández-Llamas, Camino; Matellán-Olivera, Vicente; Suárez-González, Adrián. 2020. "Automatic Extraction of Power Cables Location in Railways Using Surface LiDAR Systems" Sensors 20, no. 21: 6222. https://doi.org/10.3390/s20216222

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop