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Develop more reliable and safer automated vehicle functionalities

Validating the safety and reliability of ADAS and automated vehicle functionalities requires billions of testing miles, including all possible scenarios under all possible circumstances. This is only feasible if the bulk of the validation work is done virtually, by simulation. Therefor engineers need a comprehensive physics-based platform that allows them to follow a systematic approach.

Using Simcenter Prescan, engineers can virtually validate ADAS and automated vehicle functionalities in five straightforward steps. 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. Then, they can add sensor models. The software can connect to an Ego-vehicle to test the interaction between the vehicle and its surroundings. Next, Simcenter Prescan has an interface for control systems to design and verify algorithms for data processing, sensor fusion, decision making and control. With all of those data, engineers can then run experiments, which can be done on multiple operating systems and hardware platforms. Finally, they can play with parameters for roads, paths, speed profiles, lighting conditions, weather phenomena, sensor configuration, algorithms and more.

Simcenter Prescan

Validating the safety and reliability of ADAS and automated vehicle functionalities requires billions of testing miles, including all possible scenarios under all possible circumstances. This is only feasible if the bulk of the validation work is done virtually, by simulation. Therefor engineers need a comprehensive physics-based platform that allows them to follow a systematic approach.

Using Simcenter Prescan, engineers can virtually validate ADAS and automated vehicle functionalities in five straightforward steps. 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. Then, they can add sensor models. The software can connect to an Ego-vehicle to test the interaction between the vehicle and its surroundings. Next, Simcenter Prescan has an interface for control systems to design and verify algorithms for data processing, sensor fusion, decision making and control. With all of those data, engineers can then run experiments, which can be done on multiple operating systems and hardware platforms. Finally, they can play with parameters for roads, paths, speed profiles, lighting conditions, weather phenomena, sensor configuration, algorithms and more.

Event | 23 June 2020 |

Realize LIVE - A two-day virtual event

Realize LIVE - The event for design, simulation, engineering and manufacturing

Enjoy an exciting new Realize LIVE virtual experience, bringing together thousands of participants from across the globe who are looking for new ideas and collaborations. Our global community embraces digital transformation across their organizations more than ever before. Don't miss out on this opportunity to discover the future of software product innovation and build meaningful connections.

Register for the event

Simcenter Prescan 2019.1

Simcenter Prescan features the physics-based camera based on the Unreal gaming engine and the physics-based radar model.