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On 25 and 26 September, AI4CCAM participated in the GSVF 2024 – Virtualization of Software-Defined Vehicles event, in Graz, Austria, organised by Virtual Vehicle, one of the project partners.

The vehicle records its surroundings with sensors and thermal imaging, “learns” to adapt its driving functions to this environment, uses intelligent navigation, and communicates with other AI-Defined Vehicles and intelligent infrastructure. What sounds futuristic is already a reality. AI algorithms enable real-time vehicle diagnostics and environmental perception. Essential to this is so-called Edge Computing – data processing within the vehicle itself. Because only in this way can cars react in real-time and much faster than a human ever could. Making vehicles smarter, safer, and more user-friendly is a core task at the Virtual Vehicle and was also a focus during their annual specialist conference, GSVF.​

AI4CCAM was represented not only by Virtual Vehicle but also by a further project partner, CNRS, and presented both the work on the integration of virtual reality and CARLA, an open-source autonomous driving simulator used in AI4CCAM to create scenarios and attempt experiences.

This was a collaborative demonstration, that also served as an experiment, developed by the two teams together. Participants, after providing an informed consent, were presented with scenarios in virtual reality where they encountered various vehicles, in different whether and lighting conditions, and were required to judge when they would cross the road. The data collected in the demonstration/experiment will be used by CNRS to develop their behavioral model of pedestrian road-crossing behavior in the project.

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