2021
DOI: 10.1007/s00138-021-01252-z
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Viewpoint placement for inspection planning

Abstract: Inspection planning approaches so far have focused on automatically obtaining an optimal set of viewpoints required to cover a given object. While research has provided interesting results, the automatic inspection planning has still not been made a part of the everyday inspection system development process. This is mostly because the plans are difficult to verify and it is impossible to compare them to laboratory-developed plans. In this work, we give an overview of available generate-and-test approaches, eva… Show more

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Cited by 16 publications
(8 citation statements)
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“…Within his work, Scott considered further sensor parameters, e.g., the shadow effect, measurement precision, and the incident angle, which many others have neglected. More recent works [3,[22][23][24] confirmed the benefits of such an approach and used the concept of visibility matrices for encoding information between a surface point and a set of valid viewpoints.…”
Section: Model-basedmentioning
confidence: 97%
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“…Within his work, Scott considered further sensor parameters, e.g., the shadow effect, measurement precision, and the incident angle, which many others have neglected. More recent works [3,[22][23][24] confirmed the benefits of such an approach and used the concept of visibility matrices for encoding information between a surface point and a set of valid viewpoints.…”
Section: Model-basedmentioning
confidence: 97%
“…To answer this question, this study proposes the characterization of Feature-Based Constrained Spaces (C-spaces). The C-space denoted as C can be regarded as the geometrical representation of all viewpoint constraints in the special Euclidean group SE (3). Any sensor pose within it ∀ p s ∈C can be considered to be valid to acquire a feature satisfying all viewpoint constraints C. The C-space is constituted by individual C-spaces C i (c i ), i.e., geometrical representations of each viewpoint constraint c i ∈ C.…”
Section: Viewpoint Generation Problem Solved Using C-spacesmentioning
confidence: 99%
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