TY - CHAP
T1 - 3D Reconstruction Modelling of Tunnel Point Clouds from Images Captured by UAV Robotic Camera
AU - Zhang, R.
AU - Li, Z.
N1 - Publisher Copyright:
© 2024 85th EAGE Annual Conference and Exhibition 2024. All rights reserved.
PY - 2024
Y1 - 2024
N2 - The use of UAVs for tunnel inspection offers several advantages over traditional inspection methods, including the ability to capture high-resolution color and texture information for 3D reconstruction model, which can improve the accuracy and reliability of data extraction. By using machine learning algorithms for point cloud smoothing and surface defect detection, it is possible to automate and streamline the inspection process, reducing the need for manual inspection and increasing the efficiency and safety of tunnel maintenance.
AB - The use of UAVs for tunnel inspection offers several advantages over traditional inspection methods, including the ability to capture high-resolution color and texture information for 3D reconstruction model, which can improve the accuracy and reliability of data extraction. By using machine learning algorithms for point cloud smoothing and surface defect detection, it is possible to automate and streamline the inspection process, reducing the need for manual inspection and increasing the efficiency and safety of tunnel maintenance.
UR - https://www.scopus.com/pages/publications/105003579646
M3 - Chapter
AN - SCOPUS:105003579646
T3 - 85th EAGE Annual Conference and Exhibition 2024
SP - 4929
EP - 4933
BT - 85th EAGE Annual Conference and Exhibition 2024
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 85th EAGE Annual Conference and Exhibition
Y2 - 10 June 2024 through 13 June 2024
ER -