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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.
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, ...