Light Field Imaging For Deflectometry
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Light Field Imaging For Deflectometry
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Author : Uhlig, David
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-07-14
Light Field Imaging For Deflectometry written by Uhlig, David and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-14 with categories.
Optical measurement methods are becoming increasingly important for high-precision production of components and quality assurance. The increasing demand can be met by modern imaging systems with advanced optics, such as light field cameras. This work explores their use in the deflectometric measurement of specular surfaces. It presents improvements in phase unwrapping and calibration techniques, enabling high surface reconstruction accuracies using only a single monocular light field camera.
Machine Learning For Camera Based Monitoring Of Laser Welding Processes
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Author : Hartung, Julia
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-03-08
Machine Learning For Camera Based Monitoring Of Laser Welding Processes written by Hartung, Julia and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-08 with categories.
The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.
Reconstruction From Spatio Spectrally Coded Multispectral Light Fields
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Author : Schambach, Maximilian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-10-17
Reconstruction From Spatio Spectrally Coded Multispectral Light Fields written by Schambach, Maximilian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-17 with Technology & Engineering categories.
In dieser Arbeit werden spektral kodierte multispektrale Lichtfelder untersucht, wie sie von einer Lichtfeldkamera mit einem spektral kodierten Mikrolinsenarray aufgenommen werden. Für die Rekonstruktion der kodierten Lichtfelder werden zwei Methoden entwickelt, eine basierend auf den Prinzipien des Compressed Sensing sowie eine Deep Learning Methode. Anhand neuartiger synthetischer und realer Datensätze werden die vorgeschlagenen Rekonstruktionsansätze im Detail evaluiert. -In this work, spatio-spectrally coded multispectral light fields, as taken by a light field camera with a spectrally coded microlens array, are investigated. For the reconstruction of the coded light fields, two methods, one based on the principles of compressed sensing and one deep learning approach, are developed. Using novel synthetic as well as a real-world datasets, the proposed reconstruction approaches are evaluated in detail.
Computational Label And Data Efficiency In Deep Learning For Sparse 3d Data
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Author : Li, Lanxiao
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-05-13
Computational Label And Data Efficiency In Deep Learning For Sparse 3d Data written by Li, Lanxiao and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-13 with categories.
Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.
Driver Behavior Analysis And Decision Making For Autonomous Driving At Non Signalized Inner City Intersections
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Author : Weinreuter, Hannes
language : en
Publisher: KIT Scientific Publishing
Release Date : 2025-01-17
Driver Behavior Analysis And Decision Making For Autonomous Driving At Non Signalized Inner City Intersections written by Weinreuter, Hannes and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-17 with categories.
The focus of this work is on human driving behavior in road traffic. Two aspects of it are covered, the prediction of it, including the identification of relevant influencing factors, as well as the behavior generation for autonomous vehicles. The behavior prediction is based on a field study during which participants drove a measurement vehicle through inner-city traffic. Using the driven trajectories and lidar recordings complexity features to describe the surroundings at the intersection, the traffic there and the driving path are defined. The driving behavior is characterized by further features. Based on the complexity features regression models are trained to predict the behavior features. For that, linear regression, random forest and gradient boosting machine are utilized. Different complexity feature sets, including ones that are reduced with the help of an autoencoder, are used for prediction. The results show that the driving behavior can be predicted reliably. However, when using complexity feature sets with only few features the prediction performance is reduced. In order to obtain a complexity score that is in line with human perception of complexity, an online study using videos of approaches to intersections was conducted. In pairwise comparisons participants were asked to identify the more complex situation. From that data complexity scores for the intersection passes included in the study are calculated. Several methods are used to assign these scores to the runs of the original field study. Behavior regression models are trained using these assigned complexity scores. The results show that behavior prediction with the complexity scores is possible, however, most variants require to also consider the turning direction as a second feature. The behavior generation for decision-making at T-intersections is based on a discrete event system (DES). For it, several features are used to define events that describe the status of the decision-making process at the intersection. The events trigger the transitions between the states of the DES. All states are associated with either offensive or defensive driving behavior, which is implemented using the intelligent driver model. The algorithm is validated with a simulation framework. Using a generic map and several real maps, the decision-making model is simulated 14400 times while interacting with further cooperation vehicles. None of these runs resulted in a collision involving the vehicle running the algorithm and the times to pass the intersection can be explained by the numbers of cooperation vehicles and the intersection layouts. Further simulations are used to investigate the influence of limited visibility at the intersections on the model.
Advances In Automotive Production Technology Digital Product Development And Manufacturing
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Author : Daniel Holder
language : en
Publisher: Springer Nature
Release Date : 2025-06-19
Advances In Automotive Production Technology Digital Product Development And Manufacturing written by Daniel Holder and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Technology & Engineering categories.
This open access book compiles the outcome of the 3rd Stuttgart Conference on Automotive Production (SCAP2024). The peer-reviewed contributions in this book are arranged thematically in four parts and cover a wide variety of topics: (A) Digital Methods and Models, (B) Digitalization of the Industrial and Automotive Value Chain, (C) Data-Driven Technologies, and (D) Sustainability and Circular Economy. SCAP2024 was organized by ARENA2036 in close collaboration with the Institute for Control Engineering of Machine Tools and Manufacturing Units of the University of Stuttgart. The conference took place on site from November 20–22, 2024, and provided the opportunity for national and international scientists to present their latest research results. The conference has taken another big step in becoming an established forum for topics related to the production and mobility of the future. The great success of this year's conference will be continued with the next SCAP in 2026 with new forward-looking topics
Advancements In Optical Methods Digital Image Correlation In Experimental Mechanics Volume 3
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Author : Ming-Tzer Lin
language : en
Publisher: Springer Nature
Release Date : 2019-12-04
Advancements In Optical Methods Digital Image Correlation In Experimental Mechanics Volume 3 written by Ming-Tzer Lin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-04 with Technology & Engineering categories.
Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3 of the Proceedings of the 2019 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the third volume of six from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of optical methods ranging from traditional photoelasticity and interferometry to more recent DIC and DVC techniques, and includes papers in the following general technical research areas: DIC Methods & Its Applications Photoelsticity and Interferometry ApplicationsMicro-Optics and Microscopic SystemsMultiscale and New Developments in Optical MethodsDIC and its Applications for Inverse Problems
Integrated Imaging And Vision Techniques For Industrial Inspection
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Author : Zheng Liu
language : en
Publisher: Springer
Release Date : 2015-09-24
Integrated Imaging And Vision Techniques For Industrial Inspection written by Zheng Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-24 with Computers categories.
This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications. Topics and features: presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection; includes in-depth descriptions of advanced inspection methodologies and machine vision technologies for specific needs; discusses the latest developments and future trends in imaging and vision techniques for industrial inspection tasks; provides a focus on imaging and vision system integration, implementation, and optimization; describes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process.
Machine Vision
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Author : Jürgen Beyerer
language : en
Publisher: Springer
Release Date : 2015-10-01
Machine Vision written by Jürgen Beyerer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-01 with Technology & Engineering categories.
The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.
Analyse Und Separation Polyphoner Musiksignale
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Author : Schwabe, Markus
language : de
Publisher: KIT Scientific Publishing
Release Date : 2024-07-10
Analyse Und Separation Polyphoner Musiksignale written by Schwabe, Markus and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-10 with categories.
In dieser Arbeit werden Ansätze zur verbesserten Signalanalyse mehrstimmiger Musikaufnahmen vorgestellt, die auf künstlichen neuronalen Netzen basieren. Diese Ansätze ermöglichen eine objektive Bewertung der Aufnahmequalität von Amateuraufnahmen, eine verbesserte zeitabhängige Detektion aktiver Musikinstrumente sowie eine bessere Separation von Ensemble-Aufnahmen mit unterschiedlichen Instrumenten. - In this work, improved signal analysis approaches for polyphonic music recordings, based on artificial neural networks, are presented. These approaches enable an objective estimation of the recording quality of amateur recordings, an improved time-dependent detection of active musical instruments, and an improved separation of ensemble recordings with different instruments.