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    Item type:Publication,
    Gradient-based viewpoint planning using approximated coverage computation
    A white light interferometer is a sensor suitable for automating inspections of components requiring high measurement accuracy. These sensors pose specific challenges for viewpoint planning that have not yet been addressed in the literature. This paper presents a novel approach to solving the view planning problem using gradient-based optimization. The goal is to determine a high-quality set of viewpoints for complete surface coverage. A surrogate optimization problem is formulated to maximize the coverage given a certain number of viewpoints. By iteratively increasing the number of viewpoints and re-optimizing all previous viewpoints together with the new one, a set of viewpoints achieving complete coverage is obtained. The proof of concept is demonstrated on representative test structures.
    Publicationtype: Conference Paper
      7
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    Item type:Publication,
    Cycle time reduction through a novel view planning concept for hybrid white light interferometry-based inspection
    (Elsevier, 2023) ;
    Röders, Jonas 
    ;
    Inspecting large areas with a white light interferometer is time-consuming. To shorten inspection times, additionally, a coarser sensor can be used in a preceding step to identify possible defects. These are afterwards accurately measured with the white light interferometer. Often, several points of interest can be grouped and scanned with a single white light interferometer measurement. Grouping approaches found in the literature show potential for further improvement. In this paper, a novel algorithm for view planning concerning a two-step inspection is presented. Respective literature is reviewed and discussed. Afterwards, the functionality of the algorithm is demonstrated through an example and its performance is evaluated based on comparison to other solutions. The approach generates results that are promising for reducing inspection times further than other approaches.
    Publicationtype: Journal Article
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