Sonar-based Cable Detection for in-situ Calibration of Marine Sensors

Antonio J. Oliveira; Bruno M. Ferreira; Roee Diamant; Nuno A. Cruz

doi:10.1109/auv53081.2022.9965846

Sonar-based Cable Detection for in-situ Calibration of Marine Sensors

Antonio J. Oliveira, Bruno M. Ferreira, Roee Diamant, Nuno A. Cruz

Department of Marine Technologies

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

Abstract

In-situ calibration of marine sensors requires close-range positioning. In turn, localization relative to a given object of interest is necessary. This paper deals with the detection of a vertical cable hanging from a marine observatory implemented by means of a moored buoy. An algorithm composed of sequential image filtering, segmentation and template matching is proposed. Two approaches for generating the cable's acoustic image template are introduced. The performance of the approaches, obtained by comparison with ground-truth measurements, are illustrated over challenging cluttered acoustic images collected in a test tank. The results indicate a performance better than 74% of the best candidate to match the actual cable.

Original language	English
Title of host publication	2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665416894
DOIs	https://doi.org/10.1109/auv53081.2022.9965846
State	Published - 2022
Event	2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022 - Singapore, Singapore Duration: 19 Sep 2022 → 21 Sep 2022

Publication series

Name	2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022

Conference

Conference	2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022
Country/Territory	Singapore
City	Singapore
Period	19/09/22 → 21/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Sensor calibration
Sonar detection
Template matching.

ASJC Scopus subject areas

Instrumentation
Computer Networks and Communications
Automotive Engineering
Control and Optimization

Access to Document

10.1109/auv53081.2022.9965846

Cite this

Oliveira, A. J., Ferreira, B. M., Diamant, R., & Cruz, N. A. (2022). Sonar-based Cable Detection for in-situ Calibration of Marine Sensors. In 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022 (2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/auv53081.2022.9965846

@inproceedings{946b73ec893e40b09167e97152cf954c,

title = "Sonar-based Cable Detection for in-situ Calibration of Marine Sensors",

abstract = "In-situ calibration of marine sensors requires close-range positioning. In turn, localization relative to a given object of interest is necessary. This paper deals with the detection of a vertical cable hanging from a marine observatory implemented by means of a moored buoy. An algorithm composed of sequential image filtering, segmentation and template matching is proposed. Two approaches for generating the cable's acoustic image template are introduced. The performance of the approaches, obtained by comparison with ground-truth measurements, are illustrated over challenging cluttered acoustic images collected in a test tank. The results indicate a performance better than 74% of the best candidate to match the actual cable.",

keywords = "Sensor calibration, Sonar detection, Template matching.",

author = "Oliveira, {Antonio J.} and Ferreira, {Bruno M.} and Roee Diamant and Cruz, {Nuno A.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022 ; Conference date: 19-09-2022 Through 21-09-2022",

year = "2022",

doi = "10.1109/auv53081.2022.9965846",

language = "English",

series = "2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022",

address = "United States",

}

Oliveira, AJ, Ferreira, BM, Diamant, R & Cruz, NA 2022, Sonar-based Cable Detection for in-situ Calibration of Marine Sensors. in 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022. 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022, Singapore, Singapore, 19/09/22. https://doi.org/10.1109/auv53081.2022.9965846

Sonar-based Cable Detection for in-situ Calibration of Marine Sensors. / Oliveira, Antonio J.; Ferreira, Bruno M.; Diamant, Roee et al.
2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022).

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

TY - GEN

T1 - Sonar-based Cable Detection for in-situ Calibration of Marine Sensors

AU - Oliveira, Antonio J.

AU - Ferreira, Bruno M.

AU - Diamant, Roee

AU - Cruz, Nuno A.

PY - 2022

Y1 - 2022

N2 - In-situ calibration of marine sensors requires close-range positioning. In turn, localization relative to a given object of interest is necessary. This paper deals with the detection of a vertical cable hanging from a marine observatory implemented by means of a moored buoy. An algorithm composed of sequential image filtering, segmentation and template matching is proposed. Two approaches for generating the cable's acoustic image template are introduced. The performance of the approaches, obtained by comparison with ground-truth measurements, are illustrated over challenging cluttered acoustic images collected in a test tank. The results indicate a performance better than 74% of the best candidate to match the actual cable.

AB - In-situ calibration of marine sensors requires close-range positioning. In turn, localization relative to a given object of interest is necessary. This paper deals with the detection of a vertical cable hanging from a marine observatory implemented by means of a moored buoy. An algorithm composed of sequential image filtering, segmentation and template matching is proposed. Two approaches for generating the cable's acoustic image template are introduced. The performance of the approaches, obtained by comparison with ground-truth measurements, are illustrated over challenging cluttered acoustic images collected in a test tank. The results indicate a performance better than 74% of the best candidate to match the actual cable.

KW - Sensor calibration

KW - Sonar detection

KW - Template matching.

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DO - 10.1109/auv53081.2022.9965846

M3 - Conference contribution

AN - SCOPUS:85143989591

T3 - 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022

BT - 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022

Y2 - 19 September 2022 through 21 September 2022

ER -

Sonar-based Cable Detection for in-situ Calibration of Marine Sensors

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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