The Adaptive Calibration Method for Single-Beam Distance Sensors

Piotr Biernacki; Adam Ziębiński; Damian Grzechca

doi:10.1007/978-3-030-88081-1_54

The Adaptive Calibration Method for Single-Beam Distance Sensors

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

The agility process used in Industry 4.0 increasingly influences on the location changes of the used production resources. Ensuring safety in a production environment is critical, especially when objects are moving or change their location e.g. transport trolleys, Autonomous Guided Vehicles or mobile robots. One of the methods of moving object discovery by other objects, e.g. AGV is application of distance sensors. Different sensors enable various measurement quality. In order to improve their accuracy, diverse calibration and filtration methods are often used. The article presents adaptive curve fitting method to increase accuracy of measurements for single-beam distance sensors. The research results of calibration were presented based on example of low cost ultrasounds and LiDARs sensors. Proposed adaptive curve fitting method enables to improve measurement accuracy even by 97%.

Original language	English
Title of host publication	Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings
Editors	Ngoc Thanh Nguyen, Ngoc Thanh Nguyen, Lazaros Iliadis, Ilias Maglogiannis, Bogdan Trawiński
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	721-732
Number of pages	12
ISBN (Print)	9783030880804
DOIs	https://doi.org/10.1007/978-3-030-88081-1_54
Publication status	Published - 2021
Event	13th International Conference on Computational Collective Intelligence, ICCCI 2021 - Virtual, Online Duration: 29 Sept 2021 → 1 Oct 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12876 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Computational Collective Intelligence, ICCCI 2021
City	Virtual, Online
Period	29/09/21 → 1/10/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Curve fitting
Sensors calibration
Single-beam distance sensors

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-88081-1_54

Cite this

Biernacki, P., Ziębiński, A., & Grzechca, D. (2021). The Adaptive Calibration Method for Single-Beam Distance Sensors. In N. T. Nguyen, N. T. Nguyen, L. Iliadis, I. Maglogiannis, & B. Trawiński (Eds.), Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings (pp. 721-732). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12876 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-88081-1_54

Biernacki, Piotr ; Ziębiński, Adam ; Grzechca, Damian. / The Adaptive Calibration Method for Single-Beam Distance Sensors. Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings. editor / Ngoc Thanh Nguyen ; Ngoc Thanh Nguyen ; Lazaros Iliadis ; Ilias Maglogiannis ; Bogdan Trawiński. Springer Science and Business Media Deutschland GmbH, 2021. pp. 721-732 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{10b29d75f5a74492b17b49939fd96338,

title = "The Adaptive Calibration Method for Single-Beam Distance Sensors",

abstract = "The agility process used in Industry 4.0 increasingly influences on the location changes of the used production resources. Ensuring safety in a production environment is critical, especially when objects are moving or change their location e.g. transport trolleys, Autonomous Guided Vehicles or mobile robots. One of the methods of moving object discovery by other objects, e.g. AGV is application of distance sensors. Different sensors enable various measurement quality. In order to improve their accuracy, diverse calibration and filtration methods are often used. The article presents adaptive curve fitting method to increase accuracy of measurements for single-beam distance sensors. The research results of calibration were presented based on example of low cost ultrasounds and LiDARs sensors. Proposed adaptive curve fitting method enables to improve measurement accuracy even by 97\%.",

keywords = "Curve fitting, Sensors calibration, Single-beam distance sensors",

author = "Piotr Biernacki and Adam Zi{\c e}bi{\'n}ski and Damian Grzechca",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 13th International Conference on Computational Collective Intelligence, ICCCI 2021 ; Conference date: 29-09-2021 Through 01-10-2021",

year = "2021",

doi = "10.1007/978-3-030-88081-1\_54",

language = "English",

isbn = "9783030880804",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "721--732",

editor = "Nguyen, \{Ngoc Thanh\} and Nguyen, \{Ngoc Thanh\} and Lazaros Iliadis and Ilias Maglogiannis and Bogdan Trawi{\'n}ski",

booktitle = "Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings",

address = "Germany",

}

Biernacki, P , Ziębiński, A & Grzechca, D 2021, The Adaptive Calibration Method for Single-Beam Distance Sensors. in NT Nguyen, NT Nguyen, L Iliadis, I Maglogiannis & B Trawiński (eds), Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12876 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 721-732, 13th International Conference on Computational Collective Intelligence, ICCCI 2021, Virtual, Online, 29/09/21. https://doi.org/10.1007/978-3-030-88081-1_54

The Adaptive Calibration Method for Single-Beam Distance Sensors. / Biernacki, Piotr ; Ziębiński, Adam ; Grzechca, Damian.
Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings. ed. / Ngoc Thanh Nguyen; Ngoc Thanh Nguyen; Lazaros Iliadis; Ilias Maglogiannis; Bogdan Trawiński. Springer Science and Business Media Deutschland GmbH, 2021. p. 721-732 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12876 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Adaptive Calibration Method for Single-Beam Distance Sensors

AU - Biernacki, Piotr

AU - Ziębiński, Adam

AU - Grzechca, Damian

PY - 2021

Y1 - 2021

N2 - The agility process used in Industry 4.0 increasingly influences on the location changes of the used production resources. Ensuring safety in a production environment is critical, especially when objects are moving or change their location e.g. transport trolleys, Autonomous Guided Vehicles or mobile robots. One of the methods of moving object discovery by other objects, e.g. AGV is application of distance sensors. Different sensors enable various measurement quality. In order to improve their accuracy, diverse calibration and filtration methods are often used. The article presents adaptive curve fitting method to increase accuracy of measurements for single-beam distance sensors. The research results of calibration were presented based on example of low cost ultrasounds and LiDARs sensors. Proposed adaptive curve fitting method enables to improve measurement accuracy even by 97%.

AB - The agility process used in Industry 4.0 increasingly influences on the location changes of the used production resources. Ensuring safety in a production environment is critical, especially when objects are moving or change their location e.g. transport trolleys, Autonomous Guided Vehicles or mobile robots. One of the methods of moving object discovery by other objects, e.g. AGV is application of distance sensors. Different sensors enable various measurement quality. In order to improve their accuracy, diverse calibration and filtration methods are often used. The article presents adaptive curve fitting method to increase accuracy of measurements for single-beam distance sensors. The research results of calibration were presented based on example of low cost ultrasounds and LiDARs sensors. Proposed adaptive curve fitting method enables to improve measurement accuracy even by 97%.

KW - Curve fitting

KW - Sensors calibration

KW - Single-beam distance sensors

UR - https://www.scopus.com/pages/publications/85116923538

U2 - 10.1007/978-3-030-88081-1_54

DO - 10.1007/978-3-030-88081-1_54

M3 - Conference contribution

AN - SCOPUS:85116923538

SN - 9783030880804

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 721

EP - 732

BT - Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings

A2 - Nguyen, Ngoc Thanh

A2 - Iliadis, Lazaros

A2 - Maglogiannis, Ilias

A2 - Trawiński, Bogdan

PB - Springer Science and Business Media Deutschland GmbH

T2 - 13th International Conference on Computational Collective Intelligence, ICCCI 2021

Y2 - 29 September 2021 through 1 October 2021

ER -

Biernacki P , Ziębiński A , Grzechca D. The Adaptive Calibration Method for Single-Beam Distance Sensors. In Nguyen NT, Nguyen NT, Iliadis L, Maglogiannis I, Trawiński B, editors, Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 721-732. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-88081-1_54

The Adaptive Calibration Method for Single-Beam Distance Sensors

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this