ADAS & Integrated Safety

With the increasing availability and complexity of active safety systems, the mutual interaction between these systems and their interaction with the passive safety systems poses a significant challenge to find the right balance between these to maximize real world safety performance.

Siemens PLM Software offers solutions to optimize safety and performance linked to ADAS by validating resulting behavior when integrating active and passive safety systems.

With the increasing availability and complexity of active safety systems, the mutual interaction between these systems and their interaction with the passive safety systems poses a significant challenge to find the right balance between these to maximize real world safety performance.

Siemens PLM Software offers solutions to optimize safety and performance linked to ADAS by validating resulting behavior when integrating active and passive safety systems.

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With the heightened complexity of passive and active safety systems, maximizing real-world safety performance of a vehicle becomes increasingly challenging. Active safety systems such as electric seatbelt retractors, active crash avoidance systems, and automatic braking systems have many benefits, but could also affect occupant kinematics to such an extent that hazardous situations may occur. To unleash the power of all of the on-board safety systems, integration and collaboration of these systems is paramount. Sensors, controllers, data interpretation and intervention protocols have to work seamlessly together to benefit occupant position and kinematics.

Siemens PLM Software offers expertise and methodology for integrated occupant safety and driving comfort, state-of-the-art test facilities and best-in-class tool suite including human, restraint, sensor and world modeling.

On-Demand Webinar | 25 minutes

End-of-line testing automotive: How to perform NVH-based quality inspection

End-of-line testing – automotive production line

Automated vibro-acoustic measurements as the gateway to objective product fault detection

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