Virtual Training for Autonomous Vehicles
Parallel Domain’s virtual world generation technology enables the large- scale training and testing of driverless cars before they hit public roads. The platform can generate multiple realistic, highly detailed city blocks in less than a minute, unlocking the necessary simulated training and testing environments for autonomous vehicles. Real-world map data can be used to automatically reconstruct a photorealistic, living world complete with traffic, pedestrians, time of day, and more. Any element is adjustable and programmable, from the number of lanes to the condition of the asphalt.