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Dissertation Movement Recognition and Direction Detection of Pedestrians 

Memon, Abdul Qudoos (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, ...
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Dissertation On the requirements and advantages of cooperative collision avoidance systems for vulnerable road users 

Bachmann, Marek Benjamin (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 ...

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  • Date Issued 2021 (2)
  • Publication typeDoctoral thesis  (2)
  • Keyword (DDC)004  Data processing and computer science  (2)380  Commerce, communications and transportation  (1)
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