Research Database: Projects

Augmented reality (AR) is a field of research that has seen a steep incline in attention over the last years. Recently, it has been driven by simple cell phone applications as well as the appearance of low-cost head-worn display devices such as Google Glass, and will likely see further uptake through Microsoft Hololens. Nonetheless, the field of research itself has steadily been growing for well over a decade, driven primarily by research systems, but also by increasing industry interest. The basic premise of AR is the overlay of digital imagery over real-world footage. However, how we present information in an effective way, reflecting the potential and limitations of the human perceptual system, is still an open issue. To improve the usability and performance of AR systems and applications, perceptual issues must be approached systematically: there is a need to understand the mechanisms behind these problems, to derive requirements and subsequently find solutions to mitigate effects. To focus our scope, in the proposed work we will predominantly look into advancing view management techniques, while mainly dealing with labels as main information visualization technique. Labels are the predominant mode of information communication in most AR applications and highly intertwined with view management. Labels generally hold text, numerical data or small graphical representations in a flag-like form that point towards the real-world object it refers to. The management thereof can be very challenging: for example, it may be required to order a larger number of labels that likely cause clutter and occlusion, which results in difficulties processing the provided information. Hence, without adequate view management techniques we will not be able to design effective interfaces especially when complexity rises. This is especially true once a narrow field-of-view (FOV) head-worn display device is used. These display devices are increasingly popular as high quality and affordable commercial versions become available and a higher uptake is expected. Yet, adequate view management methods specifically designed for narrow FOV are not available.   Aims and Objectives In the project, we will advance the state of the art in the following areas: Create a benchmark system that supports the research effort – it is specifically intended to create a platform for performing validations und comparative conditions, both within the frame of the research program as well as by other researchers. Create a better understanding of perceptual and interrelated cognitive issues arising when using narrow FOV AR displays for exploring increasingly complex information, and comparing these findings to medium and wide FOV displays. Develop innovative view management techniques specifically tuned towards narrow FOV displays, hereby encompassing both (a) improvements to visual management of information represented through labels as well as (b) exploring the potential and developing view management methods based on auditory and tactile cues. Create guidelines to guide the design of novel interfaces.

Project management at the H-BRS

The development of sustainable electromobility is one of the social challenges our time, which is considered in the research project eTa. The energy efficiency of vehicles is addressed in aerodynamic projects and optimized operating strategies. In particular, non-classic vehicle concepts are in focus. Alternative mobility concepts based on non-fossil fuels need new supply structures. The optimized expansion of the loading infrastructure is therefore another issue. But even the best mobility concept is useless if it is not accepted by society and implemented by politics and business. Therefore, acceptance questions are a central element of eTa, which will be further developed. The following areas are addressed primarily by the need to reduce energy consumption: Efficiency of the vehicles Alternative mobility concepts Efficiency of mobility concepts Technical acceptance In particular, these are questions which arise only from the combined consideration of these subject areas and are usually not fully answered in classical manner. Examples of this are optimization of hybrid controls for muscle-electric hybrid light vehicles and study of the aerodynamics of ultralight vehicles where results of the classic wind tunnel tests often do not correspond to the results of the practice. Other topics that we are dealing with are predictive operational strategies for electric combustion hybrid vehicles and loss optimization, optimization of multi-stage placement of charging stations, acceptance of alternative mobility concepts.

A sustainable energy future requires that we both do more with less, and that we fully exploit the renewable energy sources we have available. In this project we explore a common thread between these two approaches, developing tools to better explore and understand aerodynamic design. On the one hand our tools can be used to improve the performance of aerodynamic vehicles, and on the other improving our ability to harvest energy from wind. We develop automated methods for the design of complete aerodynamic structures, using machine-learning techniques to guide iterative experimentation with novel designs. We focus on: Optimization of entire structures, rather than iterative improvement on existing designs Human-machine collaborative design exploration, to discover innovative design concepts Inclusion of structural mechanics and fluid structure interaction into the optimization, design, and modeling process Modeling techniques to support these goals, using data-driven approaches to approximate computationally intensive techniques and simulations In particular we face challenges when creating tools which address these issues in tandem, such as: modeling the performance of designs produced with non-traditional parameterizations broad exploration of possible designs in computationally demanding contexts optimization and modeling of aerodynamic and structural properties simultaneously  

Die Hochschule Bonn-Rhein-Sieg - einfach ausgezeichnet. Studieren Sie bei uns! Es erwartet Sie ein praxisorientiertes Studium auf der Basis aktueller Forschungsergebnisse.

Objectives Develop and implement a disruptive concept for automatically guided vehicles (AGVs) that lowers the still existing barrier in logistics by offering • cost-effective, automated or semi-automated indoor transportation of goods, • while coping with existing legacy in terms of size, shape, and weight of goods and containers, • without imposing disruptive changes in existing logistic solutions, such as rebuilding entire warehouses or switching to new containers or storage technology.

Project management at the H-BRS

Aims: The objective of the research project described here was to develop a bicycle simulator prototype to be used in road traffic education and road safety training, based on the Fivis bicycle simulator developed at Bonn-Rhein-Sieg University of Applied Sciences. The prototype had to be universally applicable for different age groups as well as for various applications. Activities/Methods: The following sub-tasks have been addressed: Design and implementation of potentially hazardous road traffic scenarios Conceptual design and construction of a mobile, yet immersive bicycle simulator Development and evaluation of a system for hand signal and shoulder check detection Development of an automatic scoring and user administration system Preparation of a first didactical concept to be used in school Results: The bicycle simulator Fivis developed at the Bonn-Rhein-Sieg University of Applied Sciences is based on flat LCD monitors and a modular frame system. It requires little space and can be built up quickly. This extends the bicycle simulator’s applicability, since the system can be mounted on a mobile platform (e. g. trailer). This allows the system to be deployed at various alternating locations. The simulation software has been extended during the project period. A sample detection system for typical mistakes, such as missing hand signals or disregarding the right of way, has been integrated into the simulator. Typical hazardous situations have been identified and implemented as scenarios within the simulator. In addition, a didactical concept for the use of the simulator at secondary school level has been developed. First evaluation studies with sixth graders indicate that the simulator is accepted as a reasonable means for traffic education. The question of whether the use of the mobile bicycle simulator will have the desired effect of reducing the bicycle accident rates can only be answered by conducting a long-term study. Results of first studies involving children of different age groups indicate that simulator training contributes to the handling of real hazardous situations in road traffic, as well as to increase of the overall attentiveness and alertness.

The project objective is to develop a generic visual simulator of devices, systems and industrial plants, independent of a particular Programmable Logic Controller (PLC) vendor. This simulator platform will be part of an innovative learning concept for PLC programmers. The platform consists of a conventional PLC, a special I/O adapter, and a PC. The visual system simulator contains a PC software part that offers a number of training tasks with 3D visualisation. The system will have multi-lingual support for task descriptions and the user interface. Major focus areas in this project are realistic simulation of devices and their physical characteristics, realistic behaviour and reaction of the simulator on real control signals, as well as correct visual representation of real-time events and modulated signals with low latency. Special features, such as inducing simultaneous multiple failures and other malfunctions, have been recently integrated into the simulator. The simulation addresses the correct representation of high frequency input signals and how to adequately react to them. Funded by the Federal Ministry for Economic Affairs and Energy (BMWi) under the Central Innovation Programme for Small and Medium Sized Enterprises (ZIM) grant No. KF2992401.

Aims: In the field of electro-technical vocational training, in particular in the safety-related area of digital machine controls, appropriate training materials that help to convey a correct and safe planning of the installation and use of safety controls in prevailing industrial practice are absent. The SafetySim research project aims to bridge these open issues with machinery simulation for more realistic training experience in the area of Safety-PLCs applications (PLC: Programmable Logic Controller). This cooperative research project of the Institute of Visual Computing of the Bonn-Rhein-Sieg University of Applied Sciences (HBRS) and the Federal Institute for Professional Training (BIBB) with the support of industrial partners in teaching resources for vocational training, aims at development of machinery simulations and training applications to learn safety-relevant aspects in the operation of machines equipped with programmable logic controllers (PLCs) in the field of electrical engineering.

Project goals The goal of EPICSAVE is to research, develop and evaluate a novel approach for paramedics to practice rare medical emergencies. The approach alleviates current constraints by utilizing virtual experiences and digital games that will be strongly tied to theoretical curricular content. The resulting prototype will be integrated into the on-sight vocational training of two project partners from the public and the private sector, respectively. Vocational training Vocational training of emergency medical technicians (EMT) in social welfare organizations in private organizations Vocational training in other medical professions Technology Virtual Reality Serious Games Eye-tracking Virtual Agents 3D Interaction Education Analysis of educational objectives, curricular content Strategies for transfer of learning Constraints of educational practice Tutorial and in-game supervision Diversity of target group, acceptance Project manager Prof. Dr. Jonas Schild

The construction of high quality polymer products, bondings and composite materials requires: wide knowlegde about the materials used reliable quality control for incoming and outgoing products high process safety reliable suppliers Already for construction planing, proper materials have to be chosen. Not only the final price, but also the material properties such as the possible strain or influences by surrounding media have to be taken into account. In case the material fails during the fabrication, a lot of problems and costs may arrise. Material faliure may disturbe the whole construction process and even may influence subsequent orders, especially when productions runs 24/7 and "just in time". And this is where not only the source of failure, but also responsibilities has to be clarified. At this point, failure analysis can help to find which parameters led to the final material collapse. But which of the high variety of methods is the right one? How can I minimize the number of analyses and costs and get the fastest results? Aim of this Project is to teach strengths and weaknesses of the most important polymer analysis methods. The most common applications in terms of polymers, composite materials and adhesions are demonstrated with special respect for failure analysis and quality assurance.  This includes the following analysis methods: Microscopic methods (light, digital and SEM) thermic analysis methods (DSC, DMA and DEA) mechanical analysis (static and dynamic) special polymer analysis methods (pyrolysis GC-MS, SPME-GC-MS, RFA, FT-IR, XRD, etc.)