Using Simcenter Prescan and its ADAS simulation, engineers can virtually validate ADAS and autonomous vehicle systems in five steps:

1. First, they can replicate real-world traffic scenarios within minutes by using elements of the Simcenter Prescan database (with roads, infrastructure components, actors, weather and light sources) via the GUI, or using an API.
2. Then, they can add sensor models. The software can connect to an ego-vehicle to test the interaction between the vehicle and its surroundings.
3. Next, Simcenter Prescan has an interface for control systems to design and verify algorithms for data processing, sensor fusion, decision making and control.
4. With all this data, engineers can then run experiments, which can be done on multiple operating systems and platforms.
5. Finally, in order to cover the required verification space, they can use our orchestration to automate smart parameter variation for roads, paths, actions, speed profiles, lighting conditions, weather phenomena, sensor configuration, algorithms and more.

The complexity in cooperative and automated vehicles increases exponentially compared to traditional vehicles. An integrated tool suite supporting the full development V-cycle is crucial to enable cost and time efficient development processes.

Simcenter Prescan offers a state-of-the-art ADAS simulation platform for active safety and connected systems, which enables data fusion between sensors and communication systems. Testing ranges in scale from complete traffic networks down to component-level simulation tools. Hardware-in-the-loop testing is necessary for sensor and communication systems, while a dedicated test environment for rapid, safe and reproducible testing of cooperative and automated vehicles is required to test complete systems. Finally, for validation and performance testing, a test site for urban, interurban and highway environments is available.