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New early warning system for self-driving cars
Rotor head full fairing makes the RACER fly faster
A memory without a brain
Digital twin for autonomous driving
Transport
Results 1 - 4 of 4.
Transport - 30.03.2021

AI recognizes potentially critical traffic situations seven seconds in advance A team of researchers at the Technical University of Munich (TUM) has developed a new early warning system for vehicles that uses artificial intelligence to learn from thousands of real traffic situations. A study of the system was carried out in cooperation with the BMW Group.
Transport - 24.02.2021

Aerodynamic shape optimization for helicopter rotor heads Helicopters are to become faster, greener and quieter. An international team led by Airbus Helicopters (AH) is working on the technology to achieve these goals with the RACER demonstrator. Scientists from the Technical University of Munich (TUM) have designed an aerodynamically shape-optimized rotor head full fairing for the innovative RACER rotorcraft.
Life Sciences - Transport - 23.02.2021

How a single cell slime mold makes smart decisions without a central nervous system Having a memory of past events enables us to take smarter decisions about the future. Researchers at the Max-Planck Institute for Dynamics and Self-Organization (MPI-DS) and the Technical University of Munich (TUM) have now identified how the slime mold Physarum polycephalum saves memories - although it has no nervous system.
Transport - 21.01.2021

Autonomous driving will come about. But how do you make it safe for each traffic situation, what transportation infrastructure will be required, and what will be the impact of future traffic models? Under the leadership of Audi AG, the SAVeNoW consortium is running a simulation on these questions using a digital twin of the urban traffic of Ingolstadt as an example.
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