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Verification and validation bring the design of future cars to the present day

To adapt and thrive, the automotive designer needs an effective environment to evaluate, develop and test automotive compute hardware solutions with a high level of fidelity while at the same time left-shifting the software development lifecycle.
As the automotive industry shifts its focus from drivetrain to software and electronics, sensor fusion and software innovation are emerging both as opportunities and challenges.

Siemens PAVE360 is a complete autonomous verification and validation environment modeled as a system that represents a twin image of the physical vehicle and its driving surroundings. Together with the EdgeLab.ai mixed-reality SW and HW 4/5G edge communication platform, Siemens PAVE360 powers the needs of OEMs and suppliers to explore, design, build and train/validate compute solutions critical to the future of connected and autonomous driving cars.

Development and verification platform

The design and verification of the connected autonomous vehicle must evolve with the shifting automotive landscape. Critical to the success of the industry are the availability of future methodologies and
platforms that enable automotive architects to effectively explore different compute and sensor options in a closed-loop environment to simulate, test and
validate their design against different vehicular
compute and sensor configurations, deployment
options and environmental variations. Such a methodology and platform must provide verification
coverage of the complete vehicular system, enable characterization of a multi-vendor ecosystem, and benchmark different key performance indicators
(KPIs) such as compute acceleration, power consumption and costs in a continuous and closed-loop
manner through flexible business models.

Chip to cloud

The rise of data is rapidly transforming the connected, autonomous, shared and electric (CASE) vehicle
landscape. Challenges and opportunities for automotive OEMs now extend beyond onboard components
to related infrastructure and services. For example, take the concept of virtual traffic lights (VTL), which work by utilizing the car’s speed, acceleration and
distance to calculate time to green. VTL can further communicate with real traffic light infrastructure to
increase the driver’s visibility in poor weather and share traffic conditions and guidance with other cars. The capabilities of VTL are useful to municipalities for planning and safety purposes, while the practical
benefits it provides can lead to safer road conditions and a reduction of green gas emission due to lower fuel and energy consumption. Beyond that, the
intelligent road future represents new greenfield
business opportunities for carriers and edge providers. In addition, the data generated are immensely valuable to the cloud enterprises that deal in the currency of user engagement and analytics. An effective design and verification platform offers an immersive environment for suppliers and companies to explore and develop connected automotive software and services in closed-loop settings that incorporate the automotive computing device, edge infrastructure and
elements of the public or private cloud.

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