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Abstract: Autonomous Low-Cost Measurement System - Optimization and evaluation of a mobile AR application [DE]
Philipp Heise, Autonomous Low-Cost Measurement System - Optimization and evaluation of a mobile AR application, Hochschule Düsseldorf, Master Thesis, 10.02.2023.
In this thesis, the prototype of the app ALCOS, which was created in a previous
master thesis, is further developed. ALCOS makes it possible to use the LiDAR
scanner of an iPad or iPhone to scan an excavation pit and determine its volume.
The focus for the further development is the creation of a user interface, the
testing and improvement of algorithms and the evaluation of the finished app.
It will be investigated how the LiDAR of an iPad works and how to design a user
interface for an augmented reality application to ensure a good usability.
Furthermore, it will be researched how to evaluate a UI. To find out what can be
further improved in ALCOS besides the UI, the prototype was studied in detail.
In the process, the main areas that have come up for improvement are the detection
of disturbing bodies and the setting of the lid. Accordingly, it will be explained
in more detail how a disturbing body detection algorithm based on the shadow volume
algorithm has been imple- mented and how the lid setting has been improved using a
triangulated irregular network. The app was evaluated for usability through
heuristic principles as well as with the help of a user test. In order to find out
how accurate the measurement results are, field tests were conducted in addition
to tests on a test body.
Keywords:
Volume determination, augmented reality, excavation pit, Lidar, MAR, UX, UI, TIN
Supervisor:
Prof. Jens Herder, Dr. Eng./Univ. of Tsukuba
Univ.-Prof. Dr.-Ing. Monika Jarosch
Location:
The research took place at the Virtual Sets and Virtual Environments Laboratory.
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