Um der steigenden Nachfrage nach flexiblen und robusten Mensch-Maschine-Interaktions-systemen in modernen, insbesondere nutzerzentrierten Anwendungen gerecht zu werden, untersucht diese Arbeit die Integration von LWIR-Kameras in konventionelle RGB-D-Systeme. Zudem werden Methoden zur Analyse von RGB-D-T-Daten…
Laser beam welding can produce narrow, high-quality welds in various industrial joining processes. The thermal expansion and contraction of the metal during the weld results in the displacement of the sheets. That leads to the formation of joint gaps and subsequent to a process interruption. This behavior…
Die Additive Fertigung transformiert das Denken, wie wir Bauteile entwickeln und erzeugen. Im Gegensatz zu traditionellen Methoden, wie das Spanen und Gießen, bietet diese Technologie eine neue Dimension an Gestaltungsmöglichkeiten und Bauteilfunktionen können in den Vordergrund gestellt werden. Dies…
Synthetic data has emerged as a vital tool in computer vision research, yet procedural generation using 3D computer graphics remains underexplored compared to generative adversarial networks (GANs). Our method offers greater control over generated images, making it particularly valuable for domains like…
Multispectral imaging (MSI) enables the acquisition of spatial and spectral image-based information in one process. Spectral scene information can be used to determine the characteristics of materials based on reflection or absorption and thus their material compositions. This work focuses on so-called…
Die vorliegende Dissertation behandelt die Entwicklung und Anwendung von Methoden, Algorithmen sowie Messtechnik und messtechnische Verfahren für die ortsaufgelöste Spektral- und Farbwertermittlung mit Filter-On-Chip Snapshot-Mosaik-Kameras. Dadurch sollen die technischen Grenzen von aktuell marktgängigen…
Significance: Monitoring oxygen saturation (SpO2) is important in healthcare, especially for diagnosing and managing pulmonary diseases. Non-contact approaches broaden the potential applications of SpO2 measurement by better hygiene, comfort, and capability for long-term monitoring. However, existing…
Die vorliegende Arbeit zielt auf eine Kombination der bildgebenden 3D-Technik mit der multispektralen Bilderfassung. Diese Technologiefusion kann in zwei Varianten unterteilt werden: 1. Multispektral-3D-Bildgebung: Pixelgetreue Erfassung der 3D-Form der Oberfläche und deren spektral aufgelösten optischen…
Multimodal sensors capture and integrate diverse characteristics of a scene to maximize information gain. In optics, this may involve capturing intensity in specific spectra or polarization states to determine factors such as material properties or an individual’s health conditions. Combining multimodal…
Since 3D sensors became popular, imaged depth data are easier to obtain in the consumer sector. In applications such as defect localization on industrial objects or mass/volume estimation, precise depth data is important and, thus, benefits from the usage of multiple information sources. However, a combination…
Industrial-quality inspections, particularly those leveraging AI, require significant amounts of training data. In fields like injection molding, producing a multitude of defective parts for such data poses environmental and financial challenges. Synthetic training data emerge as a potential solution…
A novel 3D sensor system for underwater application is presented, primarily designed to carry out inspections on industrial facilities such as piping systems, offshore wind farm foundations, anchor chains, and other structures at deep depths of up to 1000 m. The 3D sensor system enables high-resolution…
Realizing intelligent production systems where machines and human workers can team up seamlessly demands a yet unreached level of situational awareness. The machines' leverage to reach such awareness is to amalgamate a wide variety of sensor modalities through multisensor data fusion. A particularly…
Productive teaming is the new form of human-robot interaction. The multimodal 3D imaging has a key role in this to gain a more comprehensive understanding of production system as well as to enable trustful collaboration from the teams. For a complete scene capture, the registration of the image modalities…
We investigate the task of malformed object classification in an industrial setting, where the term ‘malformed’ encompasses objects that are misshapen, distorted, corroded or broken. Recognizing whether such an object can be repaired, taken apart so that its components can be used otherwise, or dispatched…
Stereo imaging provides an easy and cost-effective method to measure 3D surfaces, especially due to the availability of extensive free program libraries like OpenCV. An extension of the application to the field of forestry was aimed at here in the context of a project to capture the elevation profile…
With the new handheld goSCOUT3D sensor system, the entire surface of complex industrial machinery spanning several meters can be captured three-dimensionally within a matter of minutes. In addition, a comprehensive photo collection is registered and precisely assigned to the corresponding 3D object points…
In the context of digitalization, monitoring and traceability are also becoming increasingly important in the forestry sector. An essential component of the most efficient value creation is the recording of relevant characteristics right from the start. The optical and tactile recording of characteristics,…
In this work, a method for automatic analysis of natural aggregates using hyperspectral imaging and high-resolution RGB imaging combined with AI algorithms consisting of an intelligent deep-learning-based recognition routine in form of hybrid cascaded recognition routine, and a necessary demonstration…
Estimating depth from images is a common technique in 3D perception. However, dealing with non-Lambertian materials, e.g., transparent or specular, is still nowadays an open challenge. However, to overcome this challenge with deep stereo matching networks or monocular depth estimation, data sets with…