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Bei der optischen Inspektion von spiegelnden Oberflächen wird die Deflektometrie eingesetzt. Mittels eines robotergeführten Sensorkopfes können auch Oberflächen untersucht werden, für die der Messbereich des Sensors zu klein ist, indem mehrerer Messungen mit unterschiedlichen Konfigurationen ausgeführt werden. Diese Arbeit untersucht das Problem der automatisierten Bestimmung optimaler Konfigurationen für eine vollständige Oberflächeninspektion mittels probabilistischer Planungsverfahren. Deflectometry is the method of choice for the optical inspection of specular surfaces. Surfaces, for which the measurement range is too small, can be fully inspected through a roboter-guided sensor by taking measurements with different configurations. This work is concerned with the problem of automatically determinining optimal configurations for a complete inspection by means of probabilistic planning methods.

Gaussian processes. --- Gaussian distribution.

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Gaussian distribution.

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Gaussian distribution.

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Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics -a very active area of research in which few up-to-date reference works are available. Gaussian Markov Random Field: Theory and Applications is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. It includes extensive case studies and an online C-library for fast and exact simulation. With chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as well as quantitative researchers in a wide range of fields in which spatial data analysis is important.

Gaussian Markov random fields.

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This licentiate thesis by Anton Kullberg explores joint state estimation and model learning using Gaussian processes within the field of science and technology. The work focuses on developing computationally efficient methods for online state estimation and parameter learning applicable to complex systems with numerous parameters. The thesis investigates methods to detect anomalies in dynamic systems, such as ship traffic patterns, by learning from historical data. It aims to enhance the understanding and modeling of large-scale systems through advanced mathematical models that balance physical interpretability and abstraction. The intended audience includes researchers and professionals in electrical engineering and related fields.

Gaussian processes. --- Parameter estimation.