TY - GEN
T1 - Robotic Ship Hull Inspection For Damage Repair
AU - Fitzgerald, Luke
AU - Weir, Anthony
AU - Duraibabu, Dinesh Babu
AU - Omerdic, Edin
AU - Dooly, Gerard
AU - Toal, Daniel
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we investigate the methods to be used in the inspection of damaged ship hulls in water at sea, as part of the European Union (EU) Robotic Survey, Repair and Agile Manufacture (RESURGAM) Project. Employing underwater robotics equipped with camera or laser sensors, along with robust control and positioning systems, 3D models of the damaged section(s) can be produced with a goal of providing sufficient information for the subsequent design of repair patch(es), and ultimately the application of this repair to the ship. This work will allow damaged ships at sea to seek repair without the need for access to a dry dock. Preliminary results from recent field operations are included in this paper, with further field research to be carried out later this year.
AB - In this paper, we investigate the methods to be used in the inspection of damaged ship hulls in water at sea, as part of the European Union (EU) Robotic Survey, Repair and Agile Manufacture (RESURGAM) Project. Employing underwater robotics equipped with camera or laser sensors, along with robust control and positioning systems, 3D models of the damaged section(s) can be produced with a goal of providing sufficient information for the subsequent design of repair patch(es), and ultimately the application of this repair to the ship. This work will allow damaged ships at sea to seek repair without the need for access to a dry dock. Preliminary results from recent field operations are included in this paper, with further field research to be carried out later this year.
KW - laser scanning
KW - marine robotics
KW - optical imaging
KW - underwater inspection
UR - http://www.scopus.com/inward/record.url?scp=85145773739&partnerID=8YFLogxK
U2 - 10.1109/OCEANS47191.2022.9977259
DO - 10.1109/OCEANS47191.2022.9977259
M3 - Conference contribution
AN - SCOPUS:85145773739
T3 - Oceans Conference Record (IEEE)
BT - OCEANS 2022 Hampton Roads
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 OCEANS Hampton Roads, OCEANS 2022
Y2 - 17 October 2022 through 20 October 2022
ER -