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Laser Scanning Point Cloud Improvement by Implementation of RANSAC for Pipeline Inspection Application

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Standard

Laser Scanning Point Cloud Improvement by Implementation of RANSAC for Pipeline Inspection Application. / Sepulveda-Valdez, Cesar; Sergiyenko, Oleg; Alaniz-Plata, Ruben et al.
IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 2023. (IECON Proceedings (Industrial Electronics Conference)).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Harvard

Sepulveda-Valdez, C, Sergiyenko, O, Alaniz-Plata, R, Nunez-Lopez, JA, Tyrsa, V, Flores-Fuentes, W, Rodriguez-Quinonez, JC, Mercorelli, P, Kolendovska, M, Kartashov, V, Miranda-Vega, JE & Murrieta-Rico, FN 2023, Laser Scanning Point Cloud Improvement by Implementation of RANSAC for Pipeline Inspection Application. in IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), IEEE - Institute of Electrical and Electronics Engineers Inc., Piscataway, 49th Annual Conference of the IEEE Industrial Electronics Society, 2023, Singapore, Singapur, 16.10.23. https://doi.org/10.1109/IECON51785.2023.10312684

APA

Sepulveda-Valdez, C., Sergiyenko, O., Alaniz-Plata, R., Nunez-Lopez, J. A., Tyrsa, V., Flores-Fuentes, W., Rodriguez-Quinonez, J. C., Mercorelli, P., Kolendovska, M., Kartashov, V., Miranda-Vega, J. E., & Murrieta-Rico, F. N. (2023). Laser Scanning Point Cloud Improvement by Implementation of RANSAC for Pipeline Inspection Application. In IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society (IECON Proceedings (Industrial Electronics Conference)). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON51785.2023.10312684

Vancouver

Sepulveda-Valdez C, Sergiyenko O, Alaniz-Plata R, Nunez-Lopez JA, Tyrsa V, Flores-Fuentes W et al. Laser Scanning Point Cloud Improvement by Implementation of RANSAC for Pipeline Inspection Application. in IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc. 2023. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON51785.2023.10312684

Bibtex

@inbook{b18b064851f24c4789fdb7e9f5179372,
title = "Laser Scanning Point Cloud Improvement by Implementation of RANSAC for Pipeline Inspection Application",
abstract = "Laser Scanners used for Structural Health Monitoring applications such as Pipelines Structural Inspections normally needs Point Clouds from a large quantity of individual measurements that should be adjusted or post-processed to decrease overall point-cloud errors depending on scanner's characteristics. The posterior adjustment is commonly addressed by different mathematical methods or computational algorithms. According to application requirements methods such as machine learning, signal filtering, or RANSAC algorithms are used. This paper shows the application of an adapted/modify RANSAC algorithm especially suited for the pipeline inspection task. Aiming to increase the percentage of useful data per capture.",
keywords = "3D Point-Cloud, Dynamic Triangulation, Laser Scanner, Pipeline Inspection, RANSAC, Engineering",
author = "Cesar Sepulveda-Valdez and Oleg Sergiyenko and Ruben Alaniz-Plata and Nunez-Lopez, {Jose A.} and Vera Tyrsa and Wendy Flores-Fuentes and Rodriguez-Quinonez, {Julio C.} and Paolo Mercorelli and Marina Kolendovska and Vladimir Kartashov and Miranda-Vega, {Jesus Elias} and Murrieta-Rico, {Fabian N.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 49th Annual Conference of the IEEE Industrial Electronics Society, 2023 : Marina Bay Sands Expo and Convention Centre, Singapore, IECON 2023 ; Conference date: 16-10-2023 Through 19-10-2023",
year = "2023",
doi = "10.1109/IECON51785.2023.10312684",
language = "English",
isbn = "979-8-3503-3183-7",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society",
address = "United States",
url = "https://www.iecon2023.org",

}

RIS

TY - CHAP

T1 - Laser Scanning Point Cloud Improvement by Implementation of RANSAC for Pipeline Inspection Application

AU - Sepulveda-Valdez, Cesar

AU - Sergiyenko, Oleg

AU - Alaniz-Plata, Ruben

AU - Nunez-Lopez, Jose A.

AU - Tyrsa, Vera

AU - Flores-Fuentes, Wendy

AU - Rodriguez-Quinonez, Julio C.

AU - Mercorelli, Paolo

AU - Kolendovska, Marina

AU - Kartashov, Vladimir

AU - Miranda-Vega, Jesus Elias

AU - Murrieta-Rico, Fabian N.

N1 - Publisher Copyright: © 2023 IEEE.

PY - 2023

Y1 - 2023

N2 - Laser Scanners used for Structural Health Monitoring applications such as Pipelines Structural Inspections normally needs Point Clouds from a large quantity of individual measurements that should be adjusted or post-processed to decrease overall point-cloud errors depending on scanner's characteristics. The posterior adjustment is commonly addressed by different mathematical methods or computational algorithms. According to application requirements methods such as machine learning, signal filtering, or RANSAC algorithms are used. This paper shows the application of an adapted/modify RANSAC algorithm especially suited for the pipeline inspection task. Aiming to increase the percentage of useful data per capture.

AB - Laser Scanners used for Structural Health Monitoring applications such as Pipelines Structural Inspections normally needs Point Clouds from a large quantity of individual measurements that should be adjusted or post-processed to decrease overall point-cloud errors depending on scanner's characteristics. The posterior adjustment is commonly addressed by different mathematical methods or computational algorithms. According to application requirements methods such as machine learning, signal filtering, or RANSAC algorithms are used. This paper shows the application of an adapted/modify RANSAC algorithm especially suited for the pipeline inspection task. Aiming to increase the percentage of useful data per capture.

KW - 3D Point-Cloud

KW - Dynamic Triangulation

KW - Laser Scanner

KW - Pipeline Inspection

KW - RANSAC

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85179513043&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/b17f0b06-c3f4-323a-912b-e47d68fadafe/

U2 - 10.1109/IECON51785.2023.10312684

DO - 10.1109/IECON51785.2023.10312684

M3 - Article in conference proceedings

AN - SCOPUS:85179513043

SN - 979-8-3503-3183-7

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

T2 - 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Y2 - 16 October 2023 through 19 October 2023

ER -

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DOI

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