Making Autonomous Vehicles Safe
by bringing the human element into traffic simulation.
30 Billion Kilometers
of testing are required to ensure an autonomous vehicle is safer than a human driver.
This is why testing and development must take place in simulation.
Human Limitations and Errors
are currently the main cause of road accidents.
Interactions with human traffic agents pose a major challenge for the safe operation of autonomous vehicles.
is to enable automotive companies to test in simulation whether their cars safely interact with humans. We achieve this by simulating human cognition and behavior in traffic.
realistic models for simulating the behavior of traffic participants. Based on state-of-the-art neuroscientific and sensorimotor research, our Traffic Agent Models ensure high validity of traffic simulations.
Explicit models of perception and cognition allow an accurate simulation of human limitations and behavior in traffic.
Our neurocognitive model provides high realism in both regular and critical traffic scenarios.
The white-box approach provides explicable behavior in post-simulation analysis.
combines expertise from neuroscientific and sensorimotor research with technical competence and experience in the automotive industry.