Simcenter Prescan

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.

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Simcenter 教育工作者版本

Simcenter 教育工作者版本

Simcenter 提供的专用软件包,能够为学术院校弥合目前的技术鸿沟,满足就业市场的需求。

精选客户成功案例

TwinswHeel

Droid delivery manufacturer uses Simcenter software to validate advanced safety mechanisms

Siemens Digital Industries Software solutions enable TwinswHeel to save time and costs by streamlining technical choices, development and verification

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在线研讨会回放 | 41 分钟

Tackle the challenges of high-speed ADAS sensor and autonomous vehicle data collection for testing and validation

The Simcenter SCAPTOR fits in the trunk of a car and allows for high-speed ADAS sensor and autonomous vehicle data collection

Tackle the challenges of high-speed ADAS sensor data collection

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