Title
Raw Scanned Point Cloud Registration with Repetition for Aircraft Fuel Tank Inspection
Abstract
The aircraft fuel tank, as the source of fuel supply, is one of the key components for an aircraft. It is fastened to the fuselage with thousands of rivets, in which each rivet is sealed carefully to prevent the leakage. Thus, the sealing quality of the aircraft fuel tank needs to be precisely measured to ensure its normal function. To achieve the measurement, the complete 3D point clouds captured by 3D scanning are usually utilized. Therefore, it is necessary to align the different views of the aircraft fuel tank point clouds, to obtain the complete data. However, the aircraft fuel tank consists of abundant repetitive structures, such as the regular-distributed rivets, which can lead to mismatches in the aircraft fuel tank point clouds if using the conventional registration methods. In order to address the challenges, we propose a new registration framework, which is able to handle the point cloud match under the repetitive and complex scenes. First, a novel 3D descriptor called LP-PPF is constructed with the point and line features from the aircraft fuel tank point clouds, so as to identify the repetitive structures correctly. Then, according to the proposed descriptor, the accurate registration can be achieved between the neighboring point cloud pairs. Finally, based on the results of pairwise registration, the complete aircraft fuel tank point cloud can be obtained via the multi-view registration method. Experiments demonstrate that our method achieves favorable results on both synthetic and raw scanned point cloud data.& nbsp;(C) 2021 Elsevier Ltd. All rights reserved.
Year
DOI
Venue
2022
10.1016/j.cad.2021.103164
COMPUTER-AIDED DESIGN
Keywords
DocType
Volume
Point cloud registration, Multi-view registration, Aircraft fuel tank inspection, Sealant measurement
Journal
144
ISSN
Citations 
PageRank 
0010-4485
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Xuanming Cao100.68
Xiaoxi Gong200.34
Qian Xie300.34
Jiayi Huang400.34
Yabin Xu501.69
Yuanpeng Liu611.70
Jun Wang701.01