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Dissertation
On the requirements and advantages of cooperative collision avoidance systems for vulnerable road users
(2021-10)
Jedes Jahr sterben etwa 350.000 ungeschützte Verkehrsteilnehmer (engl. vulnerable road users (VRUs)), wie Fußgänger und Fahrradfahrer, durch Kollisionen mit Fahrzeugen. Ein Ansatz zur Verringerung dieser Zahl von Todesopfern ist der Einsatz von Kollisionsvermeidungssystemen für VRUs in Fahrzeugen. Diese fahrzeugbasierten VRU-Kollisionsvermeidungssysteme verwenden in den Fahrzeugen installierte Sensoren. Fahrzeugbasierte Kollisionsvermeidungssysteme sind bereits hilfreich, um Kollisionen zu vermeiden, funktionieren ...
Dissertation
Fine-scale grassland monitoring using unmanned aerial vehicle borne remote sensing
(2020-04)
RS is widely employed as a non-destructive methodology to monitor grasslands. Usage of UAV as the RS platform benefits to provide high spatial (fine-grain) and temporal resolution, unclouded data over small grassland extent. Therefore, this thesis evaluated the applications of UAV-borne RS for fine-scale grassland monitoring along with practical farm condition. Grass biomass estimation, predicting forage quality of grass and mapping invasive lupine in grasslands are considered as applications of UAVborne RS.
Konferenzveröffentlichung
Towards a Technique for Modeling New Forms of Collaborative Work Practices – The Facilitation Process Model 2.0
(University of Hawaii at Manoa, Hamilton Library, ScholarSpace, 2020)
Collaboration Engineering (CE) is an approach for the design and deployment of repeatable collaborative work practices that can be executed by practitioners themselves without the ongoing support of external collaboration professionals. A key design activity in CE concerns modeling current and future collaborative work practices. CE researchers and practitioners have used the Facilitation Process Model (FPM) technique. However, this modeling technique suffers from a number of shortcomings to model contemporary ...
Konferenzveröffentlichung
Unlocking Transfer Learning in Argumentation Mining: A Domain-Independent Modelling Approach
(GITO Verlag, 2020)
Argument identification is the fundamental block of every Argumentation Mining pipeline, which in turn is a young upcoming field with multiple applications ranging from strategy support to opinion mining and news fact-checking. We developed a model, which is tackling the two biggest practical and academic challenges of the research field today. First, it addresses the lack of corpus-agnostic models and, second, it tackles the problem of human-labor-intensive NLP models being costly to develop. We do that by suggesting ...
Konferenzveröffentlichung
Systematische Entwicklung eines Lerntools zur Erhöhung der Argumentationsfähigkeiten von Studierenden
(GITO Verlag, 2020)
Die Digitalisierung führt zu neuen Anforderungen an Fähigkeiten und Kenntnissen, die Studierende in ihrem zukünftigen Berufsleben benötigen. Metakognitive Lernkompetenzen und Higher Order Thinking Skills werden dabei immer wichtiger, um Herausforderungen der Zukunft zu lösen. Eine Unterklasse dieser Fähigkeiten, die wesentlich zu Kommunikation, Kollaboration und Problemlösung beiträgt, ist die Fähigkeit, strukturiert und reflektierend zu argumentieren. Bildungseinrichtungen haben jedoch Schwierigkeiten, die für die ...
Konferenzveröffentlichung
Using Smart Personal Assistants for Online Learning Activities: What benefits can we expect?
(GITO Verlag, 2020)
With the increasing popularity of massive open online courses, universities are able to reach a wider audience without restriction and for comparably low costs. However, in these learning environments, educators are hardly able to offer individual support to their learners. According to learning theory, the lack of individual support in online learning environments can considerably limit learning success. In our paper, we argue that new emerging Smart Personal Assistants (SPAs) have the capabilities to address this ...
Dissertation
Movement Recognition and Direction Detection of Pedestrians
(2021)
In this dissertation we developed a method that uses smartphone sensors to recognise the pedestrian movement (using the accelerometer) and direction (using the compass) accurately. The proposed approach works independent of the GPS and also improved the recognition time of pedestrians movement and direction in comparison to using the GPS.Currently, smartphones are the most common devices people carry with them along with the tablets and smartwatches. Most smartphones are equipped with different types of sensors, ...