Master Thesis MSTR-2024-119

BibliographyHalach, Tim: AR driving assistant for wheelchairs.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 119 (2024).
83 pages, english.
Abstract

Wheelchairs are an important mobility aid for many people, but our built environment presents them with many challenges. To help those people better navigate our cities, we explore the viability of an informational driving assistant for wheelchairs. Driving assistants have already become commonplace in cars to help drivers control their cars. In this thesis, we present a prototype of a driving assistant for wheelchairs and evaluate it in a user study. To find what information the driving assistant should show to its users, we performed a requirements analysis on what information wheelchair and other mobility aid users might need from such a system and based our prototype on those findings. The results of our user study are inconclusive, because we had too few participants, but the concept itself seems promising.

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Department(s)University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
Superviser(s)Sedlmair, Prof. Michael; Angerbauer, Katrin; Krauter, Christian
Entry dateMay 13, 2025
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