Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos
Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos

Author: Janya-anurak, Chettapong

Publisher: KIT Scientific Publishing

Published: 2017-04-04

Total Pages: 248

ISBN-13: 3731506424

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In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The framework using gPC based on Bayesian UQ proposed in this work is capable of analyzing the system systematically and reducing the disagreement between the model predictions and the measurements of the real processes to fulfill user defined performance criteria.

Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems Using Bayesian Uncertainty Quantification Based on Generalized Polynomial Chaos
Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems Using Bayesian Uncertainty Quantification Based on Generalized Polynomial Chaos

Author: Chettapong Janya-anurak

Publisher:

Published: 2017

Total Pages: 0

ISBN-13: 9781000066944

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In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The framework using gPC based on Bayesian UQ proposed in this work is capable of analyzing the system systematically and reducing the disagreement between the model predictions and the measurements of the real processes to fulfill user defined performance criteria.

Distributed Planning for Self-Organizing Production Systems
Distributed Planning for Self-Organizing Production Systems

Author: Pfrommer, Julius

Publisher: KIT Scientific Publishing

Published: 2024-06-04

Total Pages: 210

ISBN-13: 373151253X

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In dieser Arbeit wird ein Ansatz entwickelt, um eine automatische Anpassung des Verhaltens von Produktionsanlagen an wechselnde Aufträge und Rahmenbedingungen zu erreichen. Dabei kommt das Prinzip der Selbstorganisation durch verteilte Planung zum Einsatz. - Most production processes are rigid not only by way of the physical layout of machines and their integration, but also by the custom programming of the control logic for the integration of components to a production systems. Changes are time- and resource-expensive. This makes the production of small lot sizes of customized products economically challenging. This work develops solutions for the automated adaptation of production systems based on self-organisation and distributed planning.

Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion
Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion

Author: Bullinger, Sebastian

Publisher: KIT Scientific Publishing

Published: 2020-08-26

Total Pages: 194

ISBN-13: 373151012X

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"This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation and multiple view geometry methods. The MSfM pipeline tracks two-dimensional object shapes on pixel level to determine object specific feature correspondences, in order to reconstruct 3D object shapes as well as 3D object motion trajectories" -- Publicaciones de Arquitectura y Arte.

Video-to-Video Face Recognition for Low-Quality Surveillance Data
Video-to-Video Face Recognition for Low-Quality Surveillance Data

Author: Herrmann, Christian

Publisher: KIT Scientific Publishing

Published: 2018-08-03

Total Pages: 180

ISBN-13: 3731507994

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The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.

Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery

Author: Sommer, Lars Wilko

Publisher: KIT Scientific Publishing

Published: 2022-02-09

Total Pages: 276

ISBN-13: 3731511134

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This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.

Dynamic Switching State Systems for Visual Tracking
Dynamic Switching State Systems for Visual Tracking

Author: Becker, Stefan

Publisher: KIT Scientific Publishing

Published: 2020-12-02

Total Pages: 228

ISBN-13: 3731510383

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This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.

Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking

Author: Grinberg, Michael

Publisher: KIT Scientific Publishing

Published: 2018-08-10

Total Pages: 296

ISBN-13: 3731507811

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This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.

Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Author: Beyerer, Jürgen

Publisher: KIT Scientific Publishing

Published: 2023-07-05

Total Pages: 140

ISBN-13: 3731513048

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In August 2022, Fraunhofer IOSB and IES of KIT held a joint workshop in a Schwarzwaldhaus near Triberg. Doctoral students presented research reports and discussed various topics like computer vision, optical metrology, network security, usage control, and machine learning. This book compiles the workshop's results and ideas, offering a comprehensive overview of the research program of IES and Fraunhofer IOSB.