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.

Subjects

Optimization

Equations

Inspection

Modeling

Planning

Surfaces

Image sensors

Testing

Printing

Measurement

DDC Class

620.1: Engineering Mechanics and Materials Science

Funding(s)

Accelerated Digital Crack Inspection

Options

Gradient-based viewpoint planning using approximated coverage computation