A study on low-cost sensor fusion for automatic railway coupler inspection

Randika Kosala Wathavana Vithanage; Colin S. Harrison; Anjali K. M. DeSilva

doi:10.1109/CEEC.2018.8674237

A study on low-cost sensor fusion for automatic railway coupler inspection

Randika Kosala Wathavana Vithanage, Colin S. Harrison, Anjali K. M. DeSilva

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents findings of a case study conducted to introduce industrial robots into the inspection process of the electrical connector panel in automatic railway couplers. Detection and localization of smaller components in a highly unstructured and dynamic environment similar to a railway maintenance workshop is a non-trivial task. Therefore, a visual perception solution equipped with depth and RGB sensing hardware is suggested. The proposed solution is robust to environmental noise and precise positioning of the target with respect to the camera is not required. The accuracy of the overall system and robustness of the proposed solution are validated with the aid of well-established methodologies, data found in literature and on the actual coupler in usual working environments.

Original language	English
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1109/CEEC.2018.8674237
Publication status	Published - 19 Sept 2018
Event	10th Computer Science and Electronic Engineering (CEEC) - Colchester, United Kingdom Duration: 19 Sept 2018 → 21 Sept 2018 Conference number: 10 https://ieeexplore.ieee.org/xpl/conhome/8672424/proceeding

Conference

Conference	10th Computer Science and Electronic Engineering (CEEC)
Abbreviated title	CEEC
Country/Territory	United Kingdom
City	Colchester
Period	19/09/18 → 21/09/18
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8672424/proceeding

Keywords

sensor fusion
railway maintenance
robotic vision
cameras
three-dimensional displays
couplers
robot vision systems
feature extraction
distortion
electric connectors
industrial robots
inspection
maintenance engineering
railway engineering

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10.1109/CEEC.2018.8674237

Cite this

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title = "A study on low-cost sensor fusion for automatic railway coupler inspection",

abstract = "This paper presents findings of a case study conducted to introduce industrial robots into the inspection process of the electrical connector panel in automatic railway couplers. Detection and localization of smaller components in a highly unstructured and dynamic environment similar to a railway maintenance workshop is a non-trivial task. Therefore, a visual perception solution equipped with depth and RGB sensing hardware is suggested. The proposed solution is robust to environmental noise and precise positioning of the target with respect to the camera is not required. The accuracy of the overall system and robustness of the proposed solution are validated with the aid of well-established methodologies, data found in literature and on the actual coupler in usual working environments.",

keywords = "sensor fusion, railway maintenance, robotic vision, cameras, three-dimensional displays, couplers, robot vision systems, feature extraction, distortion, electric connectors, industrial robots, inspection, maintenance engineering, railway engineering",

author = "{Wathavana Vithanage}, {Randika Kosala} and Harrison, {Colin S.} and DeSilva, {Anjali K. M.}",

note = "Vithanage, R. K. W., Harrison, C. S., & DeSilva, A. K. M. (2019). A study on low-cost sensor fusion for automatic railway coupler inspection. In 2018 10th Computer Science and Electronic Engineering (CEEC) (pp. 1-6). IEEE. https://doi.org/10.1109/CEEC.2018.8674237; 10th Computer Science and Electronic Engineering (CEEC), CEEC ; Conference date: 19-09-2018 Through 21-09-2018",

year = "2018",

month = sep,

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doi = "10.1109/CEEC.2018.8674237",

language = "English",

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AU - Wathavana Vithanage, Randika Kosala

AU - Harrison, Colin S.

AU - DeSilva, Anjali K. M.

N1 - Conference code: 10

PY - 2018/9/19

Y1 - 2018/9/19

N2 - This paper presents findings of a case study conducted to introduce industrial robots into the inspection process of the electrical connector panel in automatic railway couplers. Detection and localization of smaller components in a highly unstructured and dynamic environment similar to a railway maintenance workshop is a non-trivial task. Therefore, a visual perception solution equipped with depth and RGB sensing hardware is suggested. The proposed solution is robust to environmental noise and precise positioning of the target with respect to the camera is not required. The accuracy of the overall system and robustness of the proposed solution are validated with the aid of well-established methodologies, data found in literature and on the actual coupler in usual working environments.

AB - This paper presents findings of a case study conducted to introduce industrial robots into the inspection process of the electrical connector panel in automatic railway couplers. Detection and localization of smaller components in a highly unstructured and dynamic environment similar to a railway maintenance workshop is a non-trivial task. Therefore, a visual perception solution equipped with depth and RGB sensing hardware is suggested. The proposed solution is robust to environmental noise and precise positioning of the target with respect to the camera is not required. The accuracy of the overall system and robustness of the proposed solution are validated with the aid of well-established methodologies, data found in literature and on the actual coupler in usual working environments.

KW - sensor fusion

KW - railway maintenance

KW - robotic vision

KW - cameras

KW - three-dimensional displays

KW - couplers

KW - robot vision systems

KW - feature extraction

KW - distortion

KW - electric connectors

KW - industrial robots

KW - inspection

KW - maintenance engineering

KW - railway engineering

U2 - 10.1109/CEEC.2018.8674237

DO - 10.1109/CEEC.2018.8674237

M3 - Paper

SP - 1

EP - 6

T2 - 10th Computer Science and Electronic Engineering (CEEC)

Y2 - 19 September 2018 through 21 September 2018

ER -

A study on low-cost sensor fusion for automatic railway coupler inspection

Abstract

Conference

Keywords

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