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.
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.
Explore the key areas of this solution.
Accelerate product development and solve the toughest problems with scalable help from engineering and consulting services.
Integrate active and passive safety systems, such as sensors, controllers, data interpretation and intervention protocol to optimize safety and performance.
Adopt model-based design by taking advantage of a multi-level philosophy and a streamlined user experience.
Effectively model vehicle systems from chassis to related components and balance conflicting performance characteristics such as comfort, handling, drivability and fuel economy.
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