Automated Close-Quarter, High-Resolution Inspection and 3D Reconstruction of Unknown Infrastructure

Ben Bartlett; Petar Trslic; Matheus Santos; Manduhu Manduhu; James Riordan; Gerard Dooly

doi:10.1109/oceanslimerick52467.2023.10244740

Automated Close-Quarter, High-Resolution Inspection and 3D Reconstruction of Unknown Infrastructure

Ben Bartlett, Petar Trslic, Matheus Santos, Manduhu Manduhu, James Riordan, Gerard Dooly

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

Abstract

This paper presents a new automated workflow for 3D reconstruction of unknown infrastructure utilising UAS technology, developed within the EU funded RAPID project. A multi stage approach is used to produce highly accurate reconstructions of infrastructure, specifically unknown infrastructure. Using this approach, the drone operator is not required to perform extensive pre-flight surveying and mission planning, adding only a few high level inputs to the overall workflow. This benefits inspection workflows where the pilot is not onsite and cannot make visual observations on safety. Furthermore, this results in uniform high resolution reconstructions and a higher level of consistent and simple task loading for operator. Real-world environment tests consisting of using one of the most popular commercial UAS platforms to perform autonomous surveys was completed, with results to demonstrate the feasibility of the developed system.

Original language	English (Ireland)
Title of host publication	OCEANS 2023 - Limerick
ISBN (Electronic)	9798350332261
DOIs	https://doi.org/10.1109/oceanslimerick52467.2023.10244740
Publication status	Published - 5 Jun 2023

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10.1109/oceanslimerick52467.2023.10244740

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@inproceedings{b258fcf8f525416894b60d5072be17c3,

title = "Automated Close-Quarter, High-Resolution Inspection and 3D Reconstruction of Unknown Infrastructure",

abstract = "This paper presents a new automated workflow for 3D reconstruction of unknown infrastructure utilising UAS technology, developed within the EU funded RAPID project. A multi stage approach is used to produce highly accurate reconstructions of infrastructure, specifically unknown infrastructure. Using this approach, the drone operator is not required to perform extensive pre-flight surveying and mission planning, adding only a few high level inputs to the overall workflow. This benefits inspection workflows where the pilot is not onsite and cannot make visual observations on safety. Furthermore, this results in uniform high resolution reconstructions and a higher level of consistent and simple task loading for operator. Real-world environment tests consisting of using one of the most popular commercial UAS platforms to perform autonomous surveys was completed, with results to demonstrate the feasibility of the developed system.",

author = "Ben Bartlett and Petar Trslic and Matheus Santos and Manduhu Manduhu and James Riordan and Gerard Dooly",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.",

year = "2023",

month = jun,

day = "5",

doi = "10.1109/oceanslimerick52467.2023.10244740",

language = "English (Ireland)",

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T1 - Automated Close-Quarter, High-Resolution Inspection and 3D Reconstruction of Unknown Infrastructure

AU - Bartlett, Ben

AU - Trslic, Petar

AU - Santos, Matheus

AU - Manduhu, Manduhu

AU - Riordan, James

AU - Dooly, Gerard

PY - 2023/6/5

Y1 - 2023/6/5

N2 - This paper presents a new automated workflow for 3D reconstruction of unknown infrastructure utilising UAS technology, developed within the EU funded RAPID project. A multi stage approach is used to produce highly accurate reconstructions of infrastructure, specifically unknown infrastructure. Using this approach, the drone operator is not required to perform extensive pre-flight surveying and mission planning, adding only a few high level inputs to the overall workflow. This benefits inspection workflows where the pilot is not onsite and cannot make visual observations on safety. Furthermore, this results in uniform high resolution reconstructions and a higher level of consistent and simple task loading for operator. Real-world environment tests consisting of using one of the most popular commercial UAS platforms to perform autonomous surveys was completed, with results to demonstrate the feasibility of the developed system.

AB - This paper presents a new automated workflow for 3D reconstruction of unknown infrastructure utilising UAS technology, developed within the EU funded RAPID project. A multi stage approach is used to produce highly accurate reconstructions of infrastructure, specifically unknown infrastructure. Using this approach, the drone operator is not required to perform extensive pre-flight surveying and mission planning, adding only a few high level inputs to the overall workflow. This benefits inspection workflows where the pilot is not onsite and cannot make visual observations on safety. Furthermore, this results in uniform high resolution reconstructions and a higher level of consistent and simple task loading for operator. Real-world environment tests consisting of using one of the most popular commercial UAS platforms to perform autonomous surveys was completed, with results to demonstrate the feasibility of the developed system.

UR - http://dx.doi.org/10.1109/oceanslimerick52467.2023.10244740

U2 - 10.1109/oceanslimerick52467.2023.10244740

DO - 10.1109/oceanslimerick52467.2023.10244740

M3 - Conference contribution

BT - OCEANS 2023 - Limerick

ER -

Automated Close-Quarter, High-Resolution Inspection and 3D Reconstruction of Unknown Infrastructure

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