NERVteh introduces its autonomous AI driving simulators to North American market
Displayed at the Techstars AutoMobili-D competition at this year's North American International Auto Show (NAIAS), NERVteh introduced its advanced driving simulators and software capabilities to the North American marketplace.
The Ireland-based company, with headquarters in Trzin, Slovenia, specializes in simulation technologies that test drivers in critical response situations. This includes testing reaction times during emergencies and using that data to inform the artificial intelligence (AI) used for autonomous cars.
NERVteh's simulator reportedly features a fully adjustable driving platform and greater than 180-degree curved screen viewing, with a patented motion platform that allows motion in X, Y, and Z axes. This design allows enhanced vertical movement, which simulates real vehicle suspension and varying road surfaces. The driving simulation can feature customized terrain, weather, and driving conditions along with edge case scenarios and driver distractions.
"With our technology, we can learn more about how people react in critical situations while offering drivers proven training before getting behind the wheel of a vehicle," said Matej Vengust, NERVteh CEO.
"Moreover, our data can be used to help endow autonomous vehicles with the best capabilities of human drivers. Artificial intelligence is robotic. Autonomous vehicles act differently from human drivers, and we have already seen the negative consequences from collisions and other incidents."
NERVteh's strategic partners in Europe include Triglav Group insurance-financial group; Slovenian auto supplier Akrapovic; and the University of Ljubljana's Faculties of Psychology and Electrical Engineering. NERVteh is currently establishing strategic partnerships with North American driver safety and research communities.
According to NERVteh, applications and end-markets for it include autonomous vehicle manufacturers and suppliers; developers of ADAS, sensor, and in-vehicle technologies; the insurance industry; driver training and licensing organizations; transportation authorities; and researchers in human machine learning and biometric performance analysis.
For more information, visit https://www.nerv-teh.com/.