’Mit dem digitalen Echtzeitzwilling haben die Voraussetzung dafür geschaffen, die Sicht des Fahrzeugs durch eine externe Sicht aus der Vogelperspektive zu ergänzen’, sagt Alois Knoll von der TUM.
'Mit dem digitalen Echtzeitzwilling haben die Voraussetzung dafür geschaffen, die Sicht des Fahrzeugs durch eine externe Sicht aus der Vogelperspektive zu ergänzen', sagt Alois Knoll von der TUM. The expectations for autonomous driving are clear: "Cars have to travel safely not only at low speeds, but also in fast-moving traffic," says Jörg Schrepfer, the Head of Driving Advanced Research Germany at Valeo. For example, when objects fall off a truck, the "egocentric" perspective of a car will often be unable to detect the hazardous debris in time. "In these cases, it will be difficult to execute smooth evasive action," says Schrepfer. Researchers in the Providentia++ project, which has received support over the past five and a half years from the Federal Ministry for Transport and Digital Infrastructure (BMDV) under a funding program for automatic and networked driving, have developed a system to transmit an additional view of the traffic situation into vehicles. "Using sensors on overhead sign bridges and masts, we have created a reliable real-time digital twin of the traffic situation on our test route that functions around the clock," says Prof. Alois Knoll of project lead manager TUM. "With this system, we can now complement the vehicle's view with an external perspective - a bird's'eye view - and incorporate the behavior of other road users into decisions." - TUM scientist Leah Strand checks the technology on the gantry.
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