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Szalai, Mátyás
Remeli, Viktor
Tihanyi, Viktor
2022-05-03T10:04:45Z
2022-05-03T10:04:45Z
2022
http://hdl.handle.net/10890/16967
For modern scientific results, it is increasingly challenging to present them in a form that the general public can understand. This is particularly true in the field of collaborative intelligent transportation services and connected vehicles, where many different platforms and sensors are operating simultaneously. It is important for users to build up the necessary trust in the new technology, which is why the presentation of the emergence and interaction of collective, platform- and sensor-level environment models is an important area. In this paper, a visualization environment that can present the different locally detected and centrally fused objects in real time are presented through an example of multiple infrastructure sensors. By statically and dynamically representing the digital twin, we can create a world where human users can see their environment through the eyes of individual vehicles, infrastructure stations, or the whole system. This, combined with Mixed Reality technology, can produce a result that feels real to the human eye and facilitates intuitive understanding of and trust towards the system.
en
Development of 3D Visualization for Displaying Real-time Sensor Information from Multiple Sources
Kiadói változat
Open access
Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
2022.03.31
Budapest University of Technology and Economics
10.3311/BMEZalaZONE2022-003
Department of Automotive Technologies
Budapest University of Technology and Economics
2022.03.31
ISBN 978-963-421-873-9
Budapest University of Technology and Economics
Budapest
Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022
Real-time
Sensor Detections
Sensoris
Unity3D
Visualization
The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022
15
19


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