Development of 3D Visualization for Displaying Real-time Sensor Information from Multiple Sources

Abstract

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.