Extrinsic Calibration Method under Low-Light Conditions for Hybrid Vision System

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Extrinsic Calibration Method under Low-Light Conditions for Hybrid Vision System. / Lopez-Medina, Fernando; Alaniz-Plata, Ruben; Sergiyenko, Oleg et al.
2025 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2025 and 2025 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2025. Transilvania University of Brasov 1, 2025. (Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Lopez-Medina, F, Alaniz-Plata, R, Sergiyenko, O, Nunez-Lopez, JA, Sepulveda-Valdez, C, Meza-Garcia, D, Villa-Manriquez, JF, Andrade-Collazo, H, Flores-Fuentes, W, Rodrlguez-Quinonez, JC, Tyrsa, V, Burnaev, E, Illarionova, S & Mercorelli, P 2025, Extrinsic Calibration Method under Low-Light Conditions for Hybrid Vision System. in 2025 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2025 and 2025 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2025. Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM, Transilvania University of Brasov 1, 2025 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2025 and 2025 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2025, Timisoara, Romania, 14.05.25. https://doi.org/10.1109/OPTIM-ACEMP62776.2025.11075278

APA

Lopez-Medina, F., Alaniz-Plata, R., Sergiyenko, O., Nunez-Lopez, J. A., Sepulveda-Valdez, C., Meza-Garcia, D., Villa-Manriquez, J. F., Andrade-Collazo, H., Flores-Fuentes, W., Rodrlguez-Quinonez, J. C., Tyrsa, V., Burnaev, E., Illarionova, S., & Mercorelli, P. (2025). Extrinsic Calibration Method under Low-Light Conditions for Hybrid Vision System. In 2025 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2025 and 2025 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2025 (Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM). Transilvania University of Brasov 1. https://doi.org/10.1109/OPTIM-ACEMP62776.2025.11075278

Vancouver

Lopez-Medina F, Alaniz-Plata R, Sergiyenko O, Nunez-Lopez JA, Sepulveda-Valdez C, Meza-Garcia D et al. Extrinsic Calibration Method under Low-Light Conditions for Hybrid Vision System. In 2025 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2025 and 2025 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2025. Transilvania University of Brasov 1. 2025. (Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM). doi: 10.1109/OPTIM-ACEMP62776.2025.11075278

Bibtex

@inbook{e0a3d867bf5d4e5faa7d54f96465cc5e,
title = "Extrinsic Calibration Method under Low-Light Conditions for Hybrid Vision System",
abstract = "Pipeline inspection for defect detection requires the use of precise automated vision systems capable of performing both general pipeline reconstruction and detailed identification of defects such as cracks, corrosion, perforations, and oxidation. This work proposes a calibration method for a multi-vision system previous to pipeline scanning. The integrated system combines cameras and a laser scanner, calibrated to merge their point clouds for enhanced accuracy. Experimental results demonstrate an error margin of 1.7704 cm, demonstrating its effectiveness even in low-light conditions.",
keywords = "Calibration, Multi-vision, Pipeline Inspection, Engineering",
author = "Fernando Lopez-Medina and Ruben Alaniz-Plata and Oleg Sergiyenko and Nunez-Lopez, {Jose A.} and Cesar Sepulveda-Valdez and David Meza-Garcia and Villa-Manriquez, {J. Fabian} and Humberto Andrade-Collazo and Wendy Flores-Fuentes and Rodrlguez-Quinonez, {Julio C.} and Vera Tyrsa and Evgeny Burnaev and Svetlana Illarionova and Paolo Mercorelli",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2025 and 2025 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2025, ACEMP & OPTIM 2025 ; Conference date: 14-05-2025 Through 17-05-2025",
year = "2025",
doi = "10.1109/OPTIM-ACEMP62776.2025.11075278",
language = "English",
series = "Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM",
publisher = "Transilvania University of Brasov 1",
booktitle = "2025 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2025 and 2025 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2025",
address = "Romania",

}

RIS

TY - CHAP

T1 - Extrinsic Calibration Method under Low-Light Conditions for Hybrid Vision System

AU - Lopez-Medina, Fernando

AU - Alaniz-Plata, Ruben

AU - Sergiyenko, Oleg

AU - Nunez-Lopez, Jose A.

AU - Sepulveda-Valdez, Cesar

AU - Meza-Garcia, David

AU - Villa-Manriquez, J. Fabian

AU - Andrade-Collazo, Humberto

AU - Flores-Fuentes, Wendy

AU - Rodrlguez-Quinonez, Julio C.

AU - Tyrsa, Vera

AU - Burnaev, Evgeny

AU - Illarionova, Svetlana

AU - Mercorelli, Paolo

N1 - Publisher Copyright: © 2025 IEEE.

PY - 2025

Y1 - 2025

N2 - Pipeline inspection for defect detection requires the use of precise automated vision systems capable of performing both general pipeline reconstruction and detailed identification of defects such as cracks, corrosion, perforations, and oxidation. This work proposes a calibration method for a multi-vision system previous to pipeline scanning. The integrated system combines cameras and a laser scanner, calibrated to merge their point clouds for enhanced accuracy. Experimental results demonstrate an error margin of 1.7704 cm, demonstrating its effectiveness even in low-light conditions.

AB - Pipeline inspection for defect detection requires the use of precise automated vision systems capable of performing both general pipeline reconstruction and detailed identification of defects such as cracks, corrosion, perforations, and oxidation. This work proposes a calibration method for a multi-vision system previous to pipeline scanning. The integrated system combines cameras and a laser scanner, calibrated to merge their point clouds for enhanced accuracy. Experimental results demonstrate an error margin of 1.7704 cm, demonstrating its effectiveness even in low-light conditions.

KW - Calibration

KW - Multi-vision

KW - Pipeline Inspection

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=105012246995&partnerID=8YFLogxK

U2 - 10.1109/OPTIM-ACEMP62776.2025.11075278

DO - 10.1109/OPTIM-ACEMP62776.2025.11075278

M3 - Article in conference proceedings

AN - SCOPUS:105012246995

T3 - Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM

BT - 2025 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2025 and 2025 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2025

PB - Transilvania University of Brasov 1

T2 - 2025 International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2025 and 2025 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2025

Y2 - 14 May 2025 through 17 May 2025

ER -

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