TY - GEN
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
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
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.
KW - 3D Reconstruction
KW - UAS
KW - UAV
KW - autonomous workflow
KW - uniform GSD
KW - unknown environments
UR - http://www.scopus.com/inward/record.url?scp=85173684588&partnerID=8YFLogxK
U2 - 10.1109/OCEANSLimerick52467.2023.10244740
DO - 10.1109/OCEANSLimerick52467.2023.10244740
M3 - Conference contribution
AN - SCOPUS:85173684588
T3 - OCEANS 2023 - Limerick, OCEANS Limerick 2023
BT - OCEANS 2023 - Limerick, OCEANS Limerick 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 OCEANS Limerick, OCEANS Limerick 2023
Y2 - 5 June 2023 through 8 June 2023
ER -