Aircraft wing manufacture is becoming increasingly digitalised. For example, it is becoming possible to produce on-line digital representations of individual structural elements, components and tools as they are deployed during assembly processes. When it comes to monitoring a manufacturing environment, imaging systems can be used to track objects as they move about the workspace, comparing actual positions, alignments, and spatial relationships with the digital representation of the manufacturing process. Active imaging systems such as laser scanners and laser trackers can capture measurements within the manufacturing environment, which can be used to deduce information about both the overall stage of manufacture and progress of individual tasks. This paper is concerned with the in-line extraction of spatial information such as the location and orientation of drilling templates which are used with hand drilling tools to ensure drilled holes are accurately located. In this work, a construction grade terrestrial laser scanner, the Leica RTC360, is used to capture an example aircraft wing section in mid-assembly from several scan locations. Point cloud registration uses 1.5"white matte spherical targets that are interchangeable with the SMR targets used by the Leica AT960 MR laser tracker, ensuring that scans are connected to an established metrology control network used to define the coordinate space. Point cloud registration was achieved to sub-millimetre accuracy when compared to the laser tracker network. The location of drilling templates on the surface of the wing skin are automatically extracted from the captured and registered point clouds. When compared to laser tracker referenced hole centres, laser scanner drilling template holes agree to within 0.2mm.


    Access

    Download


    Export, share and cite



    Title :

    Registration And Feature Extraction From Terrestrial Laser Scanner Point Clouds For Aerospace Manufacturing


    Contributors:
    Pexman, K (author) / Robson, S (author)

    Publication date :

    2022-12-08


    Remarks:

    In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. (pp. pp. 119-126). Copernicus GmbH (2022)


    Type of media :

    Paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Road extraction from mobile laser scanning point clouds

    Tao, Wang | British Library Conference Proceedings | 2022


    An Extraction Algorithm for Sharp Feature Points from Point Clouds

    Wushour, S. / Cao, J. | British Library Online Contents | 2012


    Automatic Registration of Tree Point Clouds from Terrestrial LIDAR Scanning for Reconstructing the Ground Scene of Vegetated Surfaces

    Zhou, G. / Zhou, J. / European Space Agency | British Library Conference Proceedings | 2014


    Point clouds registration system for autonomous vehicles

    HE RUNXIN / XIAO YONG / YUAN PENGFEI et al. | European Patent Office | 2023

    Free access