Verification and validation in performance engineering for autonomous vehicles

Delivering reliable, safe autonomous, and Advanced Driver Assistance Systems (ADAS) vehicles requires a data-driven, closed-loop development process and robust, continuous verification and validation processes. Building trust in virtual models of an operational environment requires performance engineers to perform continuous verification and validation.

Discover why CIMdata, a third-party strategic management consulting firm, recommends companies consider Siemens Autonomous Vehicle Development solutions to foster continuous verification and validation. Download the white paper today.

Accelerate ADAS and AV Systems development with verification and validation

Delivering reliable, safe ADAS and AV systems requires a data-driven, closed-loop development process and robust, continuous verification and validation processes focused on multiple levels from the chip to electronics to the car and, ultimately, a city’s infrastructure.

Siemens is helping bridge the gap between ADAS and AV systems. CIMdata forecasts that automakers using Siemens’ Autonomous Vehicle Development solution set will realize the needed growth and expansion of virtual, continuous performance engineering. This growth must not slow product development, and with Siemens’ continuous verification and validation capabilities, it won’t.

Use digital twins to manage the evolving scenarios as they are discovered

AV development requires considering complex operational scenarios. To make AV upgrades safer and more reliable, real-world measurements can be leveraged to correlate virtual model-based scenarios using digital twins to help assess complex operational differences.

Siemens provides a robust set of solutions for managing the evolving usage patterns and applying them for virtual evaluations using technologies that make a comprehensive digital twin interactive, accelerating understanding and confidence of new ADAS/AV designs.