Aktuelle Studien- und Abschlussarbeiten

22 items found. Show all theses.

• 2021/10/27

  4D Object Recognition in LiDAR Data

  Bachelor Thesis, Master Thesis

  Devise, implement, and evaluate an approach that is able to recognize objects in LiDAR data, using spatio-temporal cues. The approach is expected to be effective and generalizable. go

  Supervisor: Dr. Alejandro Sanchez Guinea

• 2021/10/21

  Selbstfahrende Fahrräder

  

  Bachelor Thesis, Master Thesis

  Hast du dir schon mal vorgestellt, wie man als Radfahrer mit einem selbstfahrenden Fahrrad intergieren würde? go

  Supervisor: Dr. Andrii Matviienko

• 2021/04/20

  Quality of Security and Trust Management

  I am interested in collaborating with students and supervising

  Bachelor's/Master's theses related to two running research themes: (a)

  Quality of Security, (b) Decentralized trust management. go

  Supervisor: Nikolaos Alexopoulos

• 2021/04/20

  Privacy and Anonymous Communication

  Bachelor Thesis, Master Thesis

  Privacy is essential to preserving individuals' dignity, identity, and freedom of speech. Billions of people use applications and participate in various online services daily. However, people are mostly unaware that software and service providers often monetize their personal content and data for profits or collect usage data to infer habits and preferences. As a result of many recent data breaches and data misuse incidents, users are increasingly concerned about their privacy when using applications and digital services. go

  Supervisor: Dr. Ephraim Zimmer

• 2021/04/09

  P2P Botnets

  Botnets pose a significant threat to the security of Internet based services and devices. The individual(s) behind these botnets, remotely control the infected devices to steal banking and personal information, distribute ransomware or conduct Distributed Denial of Service (DDoS) attacks against websites and other Internet based services, causing millions of dollars in damage every year. go

  Supervisors: Leon Böck, Dr. Shankar Karuppayah

• 2021/04/09

  Resilience in Energy Grids

  Bachelor Thesis, Master Thesis

  The continuous functionalitiy of energy grids is crucial for our modern society. The current energy grids provide a high degree of stability based on large fossil-fuelled producers that provide electricity to millions of consumers. However, with the ongoing transition towards increasingly intelligent and distributed smart girds that stability is threatened. An ever-growing number of renewable energy sources increases the volatility of electricity production and the complexity of operating the energy grid. Likewise, the digitization of the gird introduces novel challenges for system saftey and security. go

  Supervisor: Dr. Rolf Egert

• 2021/04/09

  Resilience in Energy Grids

  Bachelor Thesis, Master Thesis

  Supervisor: Leon Böck

• 2021/03/04

  3D Printing: Drucken von interaktiven Objekten

  

  Bachelor Thesis, Master Thesis

  Hast du dich schon mal gefragt: „Wieso kann man interaktive Objekte nicht nach den eigenen Wünschen selbst ausdrucken?“
  Mit 3D-Drucker kann man schon jetzt unglaubliche Dinge drucken. Komplexe Objekte aus Kunststoff, Keramik, Metall oder sogar Schokolade sind kein Ding der Unmöglichkeit mehr. Aber bis jetzt fehlt es diesen Objekten meistens noch an Interaktivität! go

  Supervisor: Dr. Martin Schmitz

• 2021/03/04

  Interacting with Augmented Reality

  

  Vielleicht hast du schon mal etwas von Augmented Reality gehört oder es auch bereits ausprobiert (z.B. Pokémon GO). Du denkst, dass da noch mehr geht und Augmented Reality auch über kleine spielerische Elemente hinaus eingesetzt werden kann? Dann bist du bei uns richtig! go

  Supervisors: Dominik Schön, Florian Müller

• 2021/03/04

  Interacting with 4D (virtual/augmented Reality) city models

  

  Bachelor Thesis, Master Thesis

  Modern cities are becoming increasingly connected and smarter, but not everything can and should be controlled by artificial intelligence. How can people grasp and navigate the flood of data in a smart city? How can we understand past, present and (simulated) future and learn to deal with time intuitively? go

  Supervisor: Julius Willich genannt von Pöllnitz

• 2021/03/02

  Haptisches Feedback (in Virtual und Augmented Reality)

  

  Virtual Reality Umgebungen haben in den letzten Jahren eine Vielzahl von neuen Anwendungsszenarien ermöglicht. Durch immer günstigere Consumer-Hardware sind diese auch bei Endnutzern weiter verbreitet als je zuvor. Dennoch beschränken sich die meisten Errungenschaften auf visuelles oder auditives Feedback während haptische Komponenten weiter noch am Anfang stehen. Wir am FG Telekooperation suchen im Bereich Human-Computer Interaction daher immer nach neuen Möglichkeiten, so dass Nutzer virtuelle Welten nicht nur sehen und hören können, sondern auch haptisch und taktil wahrnehmen. go

  Supervisors: Sebastian Günther, Hesham Elsayed

• 2021/03/02

  Assistenzsysteme für Fahrradfahrer

  

  Möchtest du das Fahrradfahren sicherer, spaßiger und barrierefrei machen?

  Bachelor Thesis, Master Thesis

  Der Designraum bietet eine Erweiterung von Fahrrad und Helm mit multimodalen oder AR Hinweisen, um die Sicherheit zu erhöhen, ohne eine zusätzliche kognitive Belastung und Ablenkung zu erzeugen. Die Evaluationen werden mit fahrradfahrenden Kinder/Erwachsenen in VR-Umgebung oder auf einem Verkehrsübungsplatz durchgeführt. go

  Supervisor: Dr. Andrii Matviienko

• 2021/03/02

  Interaktive Systeme zur Augmentierung von körperlichen Fähigkeiten und Kognition

  Bachelor Thesis, Master Thesis

  Dich fasziniert, wie Technologien dazu beitragen können, körperliche Fähigkeiten von Menschen zu verbessern? Du glaubst, dass Computersysteme uns bereits jetzt schon in der Aufmerksamkeit, Kognition, dem Gedächtnis und während dem Lernen unterstützen? Du bastelst und entwickelst gerne neuartige Prototypen? Dann bist du bei uns genau richtig! go

  Supervisor: Dr. Thomas Kosch

• 2021/03/01

  Process Mining

  

  Bachelor Thesis, Master Thesis

  Process Mining is a family of techniques combining data science and business process management to support the analysis of (business) processes solely based on event logs, typically recorded by enterprise information systems. These event logs contain events about what people, machines, and organizations are really doing. By using data mining, machine learning, and other related data analysis techniques, novel insights can be obtained to address performance and compliance problems of processes. go

  Supervisors: Dr.-Ing. Alexander Seeliger, Dr. Timo Nolle

• 2021/02/26

  Computer-supported Motion Assistance

  Bachelor Thesis, Master Thesis

  Traditionally, users learn new movements by following instructions of an experienced coach. While this approach has proven to be effective, it depends on the availability of the coach and the user at the same time and place, and is limited by the attention span of coach/user and high costs. Moreover, during the recent pandemic’s time, traditional training with a coach becomes even more unlikely. go

  Supervisor: Hesham Elsayed

• 2020/09/03

  Smart Graphical User Interface for 3D Point Cloud Scene Annotation

  Bachelor Thesis, Master Thesis

  The annotation of datasets for deep learning models is a tedious and time-consuming task. The annotation becomes particularly challenging when preparing 3D point cloud datasets to train complex neural network architectures for tasks like segmentation or scene flow.

  However, 3D point clouds present particular geometric properties, that can be leveraged to make the annotation easier. go

  Supervisors: Achref Doula, Dr. Alejandro Sanchez Guinea

• 2020/09/03

  Time Series Augmentation for Sensory Systems

  Bachelor Thesis, Master Thesis

  Deep Learning performs remarkably well on large datasets that covers wide range of cases. However, the labeled data of many world time series applications may be limited. As an effective way to enhance the size and quality of the training data, we rely on data augmentation which showed a huge success in computer vision problems. However, less attention has been paid to find better data augmentation methods for time series. go

  Supervisor: Dr. Alejandro Sanchez Guinea

• 2020/09/03

  Enhance Recognition of Driver Profile by Improving OBD Protocol

  Bachelor Thesis, Master Thesis

  An essential quality criterion of motor vehicles is their reliability. Reliability is equivalent to the likelihood that a product will operate faultlessly for a defined mileage under given operating and environmental conditions or under a given performance framework. In this context, the knowledge about the usage behavior and the resulting state of damage on public roads is a very important information. For example, this knowledge can be used to better design operating strategies and introduce predictive maintenance. go

  Supervisor: Dr. Alejandro Sanchez Guinea

• 2020/06/17

  Driving pattern recognition with vehicle CAN-data

  Master Thesis

  Neural Network is increasingly applied in various domains within the automotive industry. One of many is the field of predictive maintenance, which tries to estimate the current state of car parts to early access needs for maintenance and residual car value estimation. For these application signal bus system (CAN) data can be used, giving a huge amount of time series data to estimate the state of a car component. Problematic about this data is, that time series signals can vary strongly depending on driving situations, user and environmental factors, and therefore are not necessarily comparable. Knowledge about similar and different situations within the data, would enable a smarter selection of data for training and evaluation, therefore increase training data quality and performance of the model. Further, knowledge about repeating events within the data, would enable condition monitoring based on behavioral changes in well-comparable situations.

  Being said that, the objective behind this work is to explore algorithms to find often occurring events within the multidimensional CAN-data. Due to the huge size of the data and high dimensionality, efficient algorithms need to be found and tested regarding the quality of the results. For this investigation, a case study from the automotive domain is considered, where the model is taking multivariate time series from the signal bus system as features in order to find often occurring and rare events such as a specific driving maneuver within testing data or commute trips within real car usage CAN data. go

  Supervisor: Dr. Alejandro Sanchez Guinea

• 2020/05/19

  Fundamental methods for reasoning and planning of AI agents in smart environments

  Bachelor Thesis, Master Thesis

  Ubiquitous computing is in need of techniques that allow the system to act intelligently and autonomously. In this respect, one of the main concerns is the automated and dynamic creation of plans, which give the system the capabilities to reason about heterogenous and uncertain changes in the environment in an efficient manner. In spite of the important advancements that the field of Artificial Intelligence (AI) have made in automated planning and reasoning techniques, efficient planning for large sequence of actions in ever changing environments remains an open problem. go

  Supervisor: Dr. Alejandro Sanchez Guinea

• 2020/05/14

  Sight beyond sight in AR based on non-visible signals

  Bachelor Thesis, Master Thesis

  Non-visible signals (such as sound) have been used in the past to recognize people, and people's activities. In many cases these signals are distinguishable and useful for recognition tasks even when objects obstruct the user's direct view. With such approaches as basis, it is possible to envision cases in which what is being occluded can be rendered into the user's visual field through augmented reality (AR). go

  Supervisor: Dr. Alejandro Sanchez Guinea

• 2020/05/14

  Smart 3D Urban Reconstruction from Point Cloud Data

  Bachelor Thesis, Master Thesis

  Reconstruction of 3D models based on point cloud data has been widely studied in both computer graphics and computer vision communities. However, automatic reconstruction of models that accurately represent real-world models remains an open problem. go

  Supervisor: Dr. Alejandro Sanchez Guinea