Accuracy of a ceiling vision localization system on an overhead crane

Eero Pajunen; Pyry Koivistoinen; Pietari Reijonen; Panu Kiviluoma; Petri Kuosmanen

Accuracy of a ceiling vision localization system on an overhead crane

Eero Pajunen, Pyry Koivistoinen, Pietari Reijonen, Panu Kiviluoma, Petri Kuosmanen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Lifting heavy cargo, parts or equipment is a critical part of any assembly line of a factory or a warehouse, and thus efficient use of cranes can make a world of difference. Sophisticated and intelligent crane positioning systems on the other hand can benefit the safety and overall usability of the device. With the latest camera technology, remote control and even automation of the crane has been made possible.
The goal of this study was to create and evaluate the accuracy of a positioning system for an overhead crane based on the stereo image captured from the ceiling above. The technology used to achieve this was Visual SLAM (Simultaneous Localization And Mapping). One of the main objectives was to construct an integrable alternative system for the crane’s own positioning system, which measures distance of the crane’s bridge and trolley from the walls using a laser. The study produced a dataset comparing the existing laser-based positioning system and the camera-based system.

Original language	English
Title of host publication	Proceedings of the 8th Baltic Mechatronics Symposium
Publisher	Aalto-yliopisto
Number of pages	5
ISBN (Electronic)	978-952-64-9635-1
Publication status	Published - 2023
MoE publication type	A4 Conference publication
Event	Baltic Mechatronics Symposium - Tallinn, Estonia Duration: 3 May 2023 → 3 May 2023 Conference number: 8

Conference

Conference	Baltic Mechatronics Symposium
Country/Territory	Estonia
City	Tallinn
Period	03/05/2023 → 03/05/2023

Cite this

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title = "Accuracy of a ceiling vision localization system on an overhead crane",

abstract = "Lifting heavy cargo, parts or equipment is a critical part of any assembly line of a factory or a warehouse, and thus efficient use of cranes can make a world of difference. Sophisticated and intelligent crane positioning systems on the other hand can benefit the safety and overall usability of the device. With the latest camera technology, remote control and even automation of the crane has been made possible.The goal of this study was to create and evaluate the accuracy of a positioning system for an overhead crane based on the stereo image captured from the ceiling above. The technology used to achieve this was Visual SLAM (Simultaneous Localization And Mapping). One of the main objectives was to construct an integrable alternative system for the crane{\textquoteright}s own positioning system, which measures distance of the crane{\textquoteright}s bridge and trolley from the walls using a laser. The study produced a dataset comparing the existing laser-based positioning system and the camera-based system.",

author = "Eero Pajunen and Pyry Koivistoinen and Pietari Reijonen and Panu Kiviluoma and Petri Kuosmanen",

year = "2023",

language = "English",

booktitle = "Proceedings of the 8th Baltic Mechatronics Symposium",

publisher = "Aalto-yliopisto",

address = "Finland",

note = "Baltic Mechatronics Symposium ; Conference date: 03-05-2023 Through 03-05-2023",

}

TY - GEN

T1 - Accuracy of a ceiling vision localization system on an overhead crane

AU - Pajunen, Eero

AU - Koivistoinen, Pyry

AU - Reijonen, Pietari

AU - Kiviluoma, Panu

AU - Kuosmanen, Petri

N1 - Conference code: 8

PY - 2023

Y1 - 2023

N2 - Lifting heavy cargo, parts or equipment is a critical part of any assembly line of a factory or a warehouse, and thus efficient use of cranes can make a world of difference. Sophisticated and intelligent crane positioning systems on the other hand can benefit the safety and overall usability of the device. With the latest camera technology, remote control and even automation of the crane has been made possible.The goal of this study was to create and evaluate the accuracy of a positioning system for an overhead crane based on the stereo image captured from the ceiling above. The technology used to achieve this was Visual SLAM (Simultaneous Localization And Mapping). One of the main objectives was to construct an integrable alternative system for the crane’s own positioning system, which measures distance of the crane’s bridge and trolley from the walls using a laser. The study produced a dataset comparing the existing laser-based positioning system and the camera-based system.

AB - Lifting heavy cargo, parts or equipment is a critical part of any assembly line of a factory or a warehouse, and thus efficient use of cranes can make a world of difference. Sophisticated and intelligent crane positioning systems on the other hand can benefit the safety and overall usability of the device. With the latest camera technology, remote control and even automation of the crane has been made possible.The goal of this study was to create and evaluate the accuracy of a positioning system for an overhead crane based on the stereo image captured from the ceiling above. The technology used to achieve this was Visual SLAM (Simultaneous Localization And Mapping). One of the main objectives was to construct an integrable alternative system for the crane’s own positioning system, which measures distance of the crane’s bridge and trolley from the walls using a laser. The study produced a dataset comparing the existing laser-based positioning system and the camera-based system.

UR - https://urn.fi/URN:NBN:fi:aalto-202306304328

M3 - Conference article in proceedings

BT - Proceedings of the 8th Baltic Mechatronics Symposium

PB - Aalto-yliopisto

T2 - Baltic Mechatronics Symposium

Y2 - 3 May 2023 through 3 May 2023

ER -

Accuracy of a ceiling vision localization system on an overhead crane

Abstract

Conference

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