Providentia: Predictive perception for safe automated driving:
Intelligent infrastructure systems can greatly expand the scope of perception of automated vehicles and thus enable safe, predictive driving. To do this, the level of accuracy of the image of the current traffic situation must be established. The lack of a ground truth for vehicle positions makes validation difficult, however. New ideas are needed. The Providentia system presents a concept of how intelligent infrastructure systems can be validated using aerial image analysis.
FURTHER CURRENT TOPICS
Cognition Factory: Evaluate and visualize camera data
Since the beginning of research on the digital twin, AI specialist Cognition Factory GmbH has focused on processing camera data. In the meantime Dr. Claus Lenz has deployed a large-scale platform
Digital real-time twin of traffic: ready for series production
Expand the test track, deploy new sensors, decentralize software architecture, fuse sensor data for 24/7 operation of a real-time digital twin, and make data packets public: TU Munich has decisively advanced the Providentia++ research project.
Elektrobit: Coining Test Lab to stationary data
Elektrobit lays the foundation for Big Data evaluations of traffic data. Simon Tiedemann on the developments in P++.