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Follow a systematic physics-based simulation approach

Active Safety System Simulation

Prove the safety and reliability of autonomous systems by using a leading physics based simulation platform that allows for robust testing of autonomous vehicle functionality. Simcenter Prescan allows engineers to test, develop, and optimize autonomous systems by following a systematic approach. This will boost the overall systems engineering productivity from early research and development until the final stages of validation, certification, and homologation of autonomous vehicles.

Simcenter Prescan includes ready to use scenario libraries for various ADAS & AV functions and certification tests, combined with an extensive set of sensor models that allow for rapid assessment of every part of the complete full self-driving stack.  It is an open environment that follows all the major industry standards and allows for integration with third party tools and internal enterprise processes. Engineers can easily perform self-driving studies to determine the optimal sensor configuration for vehicles, develop robust driving assistance systems, evaluate the performance of perception, fusion, planning and control algorithms, and prepare for doing validation and certification of autonomous vehicle systems.

ADAS & AV System Simulation

Prove the safety and reliability of autonomous systems by using a leading physics based simulation platform that allows for robust testing of autonomous vehicle functionality. Simcenter Prescan allows engineers to test, develop, and optimize autonomous systems by following a systematic approach. This will boost the overall systems engineering productivity from early research and development until the final stages of validation, certification, and homologation of autonomous vehicles.

Simcenter Prescan includes ready to use scenario libraries for various ADAS & AV functions and certification tests, combined with an extensive set of sensor models that allow for rapid assessment of every part of the complete full self-driving stack.  It is an open environment that follows all the major industry standards and allows for integration with third party tools and internal enterprise processes. Engineers can easily perform self-driving studies to determine the optimal sensor configuration for vehicles, develop robust driving assistance systems, evaluate the performance of perception, fusion, planning and control algorithms, and prepare for doing validation and certification of autonomous vehicle systems.

Simcenter Prescan

Reduce cost while increasing reliability and safety of ADAS and automated vehicle functionalities by using a physics-based simulation platform

Más información

Webinar Bajo Demanda

Mejore el rendimiento de sensores de vehículos autónomos usando la simulación

Implemente la verificación masiva y la validación para la ingeniería de sensores

Vea el webinar

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