Publications
Now showing items 81-100 of 466
Multisensorielle Navigation und Kartierung in schwierigen Bedingungen
(2023)
Robust navigation as well as mapping of the environment are critical for autonomous aerial vehicles. This is especially challenging in poor visual conditions or degraded GNSS. Therefore, this thesis proposes multi-sensor ...
Integrated optical sensors on the Si₃N₄-organic hybrid (SiNOH) platform
(2023)
A waveguide-based sensor chip is demonstrated that is suitable for point-of-care applications. The biosensor is designed using a mathematical model to investigate the sensitivity of the waveguides. A new class of integrated ...
Bauen mit Beton im Kreislauf - Recycling, Re-Use und Ressourcenschonung
(2023)
The concrete industry is facing the major challenge of drastically reducing CO₂ emissions and thus contributing to sustainability and climate protection. In these conference proceedings, we would like to focus on how we ...
Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces
(2023)
This work addresses the use of commercial off-the-shelf rotor-based unmanned aerial vehicles (UAVs) to facilitate emergency forces in the rapid structural assessment of a disaster site by means of aerial image-based ...
Model-based Filtering of Interfering Signals in Ultrasonic Time Delay Estimations
(2023)
This work presents model-based algorithmic approaches for interference-invariant time delay estimation, which are specifically suited for the estimation of small time delay differences with a necessary resolution well below ...
Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles
(2023)
With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative ...
Integration of Flywheel Energy Storage Systems in Low Voltage Distribution Grids
(2023)
A Flywheel Energy Storage System (FESS) can rapidly inject or absorb high amounts of active power in order to support the grid, following abrupt changes in the generation or in the demand, with no concern over its lifetime. ...
Entwicklung und Evaluierung einer Kommunikationsgestützten Lokalisierung
(2023)
The content of this work is the development of a localization system, which enables several driverless transport vehicles to navigate locally in a highly flexible and free way. The ceiling mounted sensor system detects and ...
Indirekte Schätzung des Fahrbahnnässegrads zur Detektion von gefährlichen Fahrzuständen
(2023)
An estimation of the road wetness level supports the driver as well as the vehicle to maneuver safely. This study presents the fundamentals of a system that uses structure-borne sound measurements at various positions on ...
Verbinder aus Kunstharzpressholz mit erhöhter Reibung in der Scherfuge
(2023)
For the first time new connectors were realized using densified veneer wood (DVW). Initially, the DVW surface was modified to increase the friction between the connector and the timber part in the shear plane and thus ...
Architectural Alignment of Access Control Requirements Extracted from Business Processes
(2023)
Business processes and information systems evolve constantly and affect each other in non-trivial ways. Aligning security requirements between both is a challenging task. This work presents an automated approach to extract ...
Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements
(2022)
Software vendors must consider confidentiality especially while creating software architectures because decisions made here are hard to change later. Our approach represents and analyzes data flows in software architectures. ...
Phasenfeldmodellierung von Bruchbildungs-, Kristallisations- und Auflösungsvorgängen in hydrothermalen Umgebungen
(2022)
This work focuses on the numerical investigation of fracture formation, crystallization, and crystal dissolution processes in subsurface hydrothermal environments on microscale. Phase-field models are presented and applied ...
Abbildende Ellipsometrie mit Lichtwegumkehrung für die optische Charakterisierung von gekrümmten Oberflächen
(2023)
Ellipsometry is a measuring method for surface characterization and thin-film measurement of flat surfaces using polarized light. However, a new measuring principle based on return-path ellipsometry and retroreflection ...
Reservoir quality controls and reservoir modelling of continental to transitional shallow marine sedimentary basins of Southern Nigeria
(2023)
The object-based stochastic approach in facies modelling is important in the construction of geologically consistent 3-D reservoir models and in constraining the distribution of petrophysical properties. Tortuosity factor, ...
Decentralized Scheduling of Discrete Production Systems with Limited Buffers
(2023)
Modern production systems have become more flexible and agile. For them, a suitable control and planning method is needed. Agent-based systems offer the required characteristics. The contributions of these work are a ...
Architecture-based Evolution of Dependable Software-intensive Systems
(2023)
This cumulative habilitation thesis, proposes concepts for (i) modelling and analysing dependability based on architectural models of software-intensive systems early in development, (ii) decomposition and composition of ...
Systematic Approaches to Advanced Information Flow Analysis – and Applications to Software Security
(2023)
I report on applications of slicing and program dependence graphs (PDGs) to software security. Moreover, I propose a framework that generalizes both data-flow analysis on control-flow graphs and slicing on PDGs. This ...
Sustainable phosphate management
(2023)
Phosphorus is a crucial element in agriculture to feed the fast-growing global population. Its sustainable supply has ecological, social and human dimensions and it is classified as critical to European industries. On the ...
Self-Learning Longitudinal Control for On-Road Vehicles
(2023)
Reinforcement Learning is a promising tool to automate controller tuning. However, significant extensions are required for real-world applications to enable fast and robust learning. This work proposes several additions ...