Semantic Visual Localization

Robust visual localization under a wide range of viewing conditions is a fundamental problem in computer vision. Handling the difficult cases of this problem is not only very challenging but also of high practical relevance, e.g., in the context of life-long localization for augmented reality or autonomous robots. In this paper, we propose a novel approach based on a joint 3D geometric and semantic understanding of the world, enabling it to succeed under conditions where previous approaches failed. Our method leverages a novel generative model for descriptor learning, trained on semantic scene completion as an auxiliary task. The resulting 3D descriptors are robust to missing observations by encoding high-level 3D geometric and semantic information. Experiments on several challenging large-scale localization datasets demonstrate reliable localization under extreme viewpoint, illumination, and geometry changes

Cell-Free Reconstitution of Microautophagic Vacuole Invagination and Vesicle Formation

Many organelles change their shape in the course of the cell cycle or in response to environmental conditions. Lysosomes undergo drastic changes of shape during microautophagocytosis, which include the invagination of their boundary membrane and the subsequent scission of vesicles into the lumen of the organelle. The mechanism driving these structural changes is enigmatic. We have begun to analyze this process by reconstituting microautophagocytosis in a cell-free system. Isolated yeast vacuoles took up fluorescent dyes or reporter enzymes in a cytosol-, ATP-, and temperature-dependent fashion. During the uptake reaction, vacuolar membrane invaginations, called autophagic tubes, were observed. The reaction resulted in the transient formation of autophagic bodies in the vacuolar lumen, which were degraded upon prolonged incubation. Under starvation conditions, the system reproduced the induction of autophagocytosis and depended on specific gene products, which were identified in screens for mutants deficient in autophagocytosis. Microautophagic uptake depended on the activity of the vacuolar ATPase and was sensitive to GTPγS, indicating a requirement for GTPases and for the vacuolar membrane potential. However, microautophagocytosis was independent of known factors for vacuolar fusion and vesicular trafficking. Therefore, scission of the invaginated membrane must occur via a novel mechanism distinct from the homotypic fusion of vacuolar membranes

Implementation of a dynamic maintenance system into the business processes of BEGAS Netz GmbH

Ziel der Diplomarbeit ist die Erarbeitung von Einsparungspotentialen anhand der Methoden eines Geschäftsprozessmanagements. Beleuchtet wird die Tätigkeit einer technischen Fachkraft, die neben der Tätigkeit der Disposition von Monteuren ihre eigentliche Tätigkeit eines Meisters durchzuführen hat. Mit Hilfe der Implementierung einer Betriebsführungssoftware sollen die Dispositionstätigkeiten automatisiert bzw. zusammenfassend auf andere Mitarbeiter verlagert werden. So soll die Tätigkeit des Meisters wieder an den Ort des Geschehens geführt werden und weg vom Administrativen hinterm Schreibtisch. Im SOLL-/IST-Vergleich wird die Tätigkeit erfasst, mithilfe wissenschaftlicher Methoden analysiert und nach den Regeln des Prozessmanagements neu konzipiert

Mip-Splatting: Alias-free 3D Gaussian Splatting

Recently, 3D Gaussian Splatting has demonstrated impressive novel view synthesis results, reaching high fidelity and efficiency. However, strong artifacts can be observed when changing the sampling rate, \eg, by changing focal length or camera distance. We find that the source for this phenomenon can be attributed to the lack of 3D frequency constraints and the usage of a 2D dilation filter. To address this problem, we introduce a 3D smoothing filter which constrains the size of the 3D Gaussian primitives based on the maximal sampling frequency induced by the input views, eliminating high-frequency artifacts when zooming in. Moreover, replacing 2D dilation with a 2D Mip filter, which simulates a 2D box filter, effectively mitigates aliasing and dilation issues. Our evaluation, including scenarios such a training on single-scale images and testing on multiple scales, validates the effectiveness of our approach.Comment: Project page: https://niujinshuchong.github.io/mip-splatting

Application of Electrochemical Impedance Spectroscopy on Different Battery Circuits

For the operation of a battery pack, the cell state estimation plays a central role. For that, enough information about the current charge condition (SoC, state of charge) and the health status (SoH, state of health) of the individual cells or cell strings must be available. One way to draw out conclusions about the state of charge and health provides the electrochemical impedance spectroscopy (EIS) [1]. The test cells are thereby stimulated with an alternating current signal, and the resulting voltage signal is detected. These results in cell impedances, which are addicted to the signal frequencies and the respective cell states. This poster shows an experimental platform which uses the EIS to detect asymmetries in SoC and/or SoH on circuited cells. For that, the behavior of the amplitudes and frequencies of the signals should be analyzed, because for the calculation of the precise impedance, these factors are crucial. Thereby the required alternating current and voltage signals are acquired and analyzed separately for each single cell. As cell type lithium iron-phosphate round cells of the size 18650 are used. The investigations are made on a series circuit (Fig.1) made up of three cells and on a parallel circuit made up of two strings, each having two cells in series. It shows that both a series and a parallel connection within the working range the experimental platform impedances of individual cells can be determined. For these cases, differences in state of charge and state of health can be highlighted and assigned to the respective cells