AutonomousDriving

SOCIALIZING MACHINES.

Autonomous vehicle driving evaluation and training is one of the unique selling propositions for the Future Mobility Hub. By collecting driver behavior data in many different traffic and driving conditions, behavioral datasets are created much faster than in the real world, where critical and antagonistic situations are very hard to record. These datasets are used to improve driving AI and algorithms for autonomous driving systems in order for them to blend easily in traffic and our everyday lives.

 

VirtualTraining

AUTONOMOUS VEHICLES SCENARIO TESTING.

Testing and deep-learning autonomous vehicles intelligence in critical and edge-case situationsthat are not feasible for real life testing.

DriverInTheLoop

COMPLEX DRIVER-IN-THE-LOOP TESTING.

TEST AUTONOMOUS VEHICLES ALGORITHMS IN THE ENVIRONMENT WITH REAL DRIVERS

TEST, EVALUATE & TRAIN REAL DRIVERS WITH ADVANCED SENSOR EQUIPMENT

ABILITY TO ASSESS MORE DRIVERS AT THE SAME TIME IN THE SAME ENVIRONMENT

TEST NEW ROAD INFRASTRUCTURE, SMART CITIES TECHNOLOGIES, ADAS SYSTEMS AND THEIR EFFECT ON DRIVERS IN CONTROLLED ENVIRONMENT WITH MEASURABLE & ACTIONABLE DATA

 

DriverCloning

COGNITIVE AI SIMULATIONS AND AVATAR CREATION.

Nervtech™ simulations are based on comprehensive cutting edge cognitive AI software. The traffic in Simulated Autonomous Vehicle Testing (SAVT) consists of generic autonomous vehicles and Nervtech’s avatars that behave like humans: make unexpected maneuvers, sometimes make irrational decisions and create dangerous situations.