Presentation + Paper
4 March 2019 Offline development of active-alignment-algorithms by efficient interpolation of discrete databases
Maximilian Hoeren, Daniel Zontar, Sebastian Sauer, Arno Schmetz, Marvin Berger, Tobias Müller, Christian Brecher
Author Affiliations +
Proceedings Volume 10900, High-Power Diode Laser Technology XVII; 109000V (2019) https://doi.org/10.1117/12.2506521
Event: SPIE LASE, 2019, San Francisco, California, United States
Abstract
Automated active alignment of optical components during the assembly process of optical systems is state of the art in today’s optics-production. With the increasing demand of optical systems in smart devices and automotive technologies, new methods and strategies have to be developed to guarantee rapid and goal-oriented development of active-alignmentalgorithms. A key approach to this is offline development via simulations. This paper presents and evaluates an efficient approach to generate a continuous data-feedback for the offline development of active-alignment-algorithms by interpolation of a discrete database. Dependent on the system-input the described procedure generates the raw, array-like output data of a CCD-chip from the existing data of the local neighborhood.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maximilian Hoeren, Daniel Zontar, Sebastian Sauer, Arno Schmetz, Marvin Berger, Tobias Müller, and Christian Brecher "Offline development of active-alignment-algorithms by efficient interpolation of discrete databases", Proc. SPIE 10900, High-Power Diode Laser Technology XVII, 109000V (4 March 2019); https://doi.org/10.1117/12.2506521
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KEYWORDS
Databases

Optical components

Computer simulations

Detection and tracking algorithms

Evolutionary algorithms

Imaging systems

Sensors

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