industry news
Subscribe Now

Siemens introduces revolutionary new validation program to accelerate autonomous vehicle development

Siemens today introduced the PAVE360™ pre-silicon autonomous validation environment — a program established to enable and accelerate the development of innovative autonomous vehicle platforms. PAVE360 provides a comprehensive environment for multi-supplier collaboration across the automotive ecosystem for the development of next-generation automotive chips. PAVE360 also extends digital twin simulation beyond processors to include automotive hardware and software sub-systems, full vehicle models, fusion of sensor data, traffic flows and even the simulation of smart cities through which self-driving cars will ultimately travel.

“PAVE360 represents the first output of an innovation process born from the combination of Mentor and Siemens employees, ideas, and technologies two years ago,“ said Ravi Subramanian, vice president and general manager of the IC Verification Solutions Division of Mentor, a Siemens business. “PAVE360 from Siemens delivers a comprehensive program to support the deep, cross-ecosystem collaboration necessary for our customers to develop powerful custom silicon and software solutions to power the autonomous vehicles revolution.“

PAVE360 enables capabilities for full, closed-loop validation of the sensing/decision-making/actuating paradigm at the heart of all automated driving systems. This principle hinges on rigorous pre-silicon validation of deterministic (rules-based) and non-deterministic (AI-based) approaches to safe self-driving in the context of the full digital twin.

Democratizing Automotive IC Design and Development

As advances in processing continue to play an increasingly prominent role in automotive evolution, carmakers are turning to custom silicon designs to deliver the “just right” blends of cost, power, performance and advanced features necessary to enable an autonomous future.

With PAVE360, chip design can be democratized, enabling carmakers, chipmakers, tier one suppliers, software houses and other vendors to collaborate on the development and customization of extraordinarily complex silicon devices for autonomous vehicles. PAVE360 delivers a robust platform for this collaboration, helping to speed chip design and software validation, and enabling the creation of model-specific silicon for the first-generation of self-driving cars.

PAVE360 establishes a design-simulation-emulation solution that scales from individual blocks of a system-on-chip’s (SoC’s) IP, to hardware and software on the SoCs, to vehicle subsystems, and up through deployment of vehicles in smart cities – a true “chip-to-city” approach based on the increasing digitalization of the automotive industry.

“PAVE360 from Siemens enables everyone in the automotive value chain to develop custom SoCs, optimized for the performance, power, safety, thermal and form factor requirements of driver assisted and fully automated vehicles in a completely virtual environment,” said Jim McGregor, principal analyst at TIRIAS Research. “PAVE360 is part of a complete, closed-loop simulation solution from Siemens that allows designers to test everything from silicon development to full vehicle validation.”

Already on display in the Center for Practical Autonomy Lab in Novi, Michigan, PAVE360 is designed to serve as the industry-standard verification and validation program for modeling solutions in the automated driving ecosystem. 

Siemens Digital Industries Software is a leading global provider of software solutions to drive the digital transformation of industry, creating new opportunities for manufacturers to realize innovation. With headquarters in Plano, Texas, and over 140,000 customers worldwide, Siemens Digital Industries Software works with companies of all sizes to transform the way ideas come to life, the way products are realized, and the way products and assets in operation are used and understood. For more information on Siemens Digital Industries Software products and services, visitwww.siemens.com/plm.

Leave a Reply

featured blogs
May 29, 2020
Each industry has its own standards and requirements that components must meet in order to be considered usable for that industry. There are some tests that are common between industries, such as outgassing, but more often than not there are going to be different requirements...
May 29, 2020
[From the last episode: We reviewed our tour of IoT and cloud computing.] We'€™ve talked about conventional computing, so now we'€™re going to look at a new computing application that'€™s taking the industry by storm: machine learning. We did a quick overview a long tim...
May 29, 2020
AI is all around us, but what is it exactly? For curious minds, this series of blogs explores the fundamental building blocks of AI, which together build the AI solutions we see today and that will enable the products we will enjoy tomorrow. This blog throws light on Supervis...
May 27, 2020
Could life evolve on ice worlds, ocean worlds, ocean worlds covered in ice, halo worlds that are tidally locked with their sun, and rogue worlds without a sun? If so, what sort of life might it be?...

Featured Video

DesignWare 112G Ethernet PHY IP Insertion Loss Capabilities

Sponsored by Synopsys

This video shows the performance results of the Synopsys 112G PHY receiver to varying amounts of channel insertion loss. The IP meets the standards requirements. With leading power, performance, and area, the IP is available in a range of FinFET processes for high-performance.

Click here for more information

Featured Paper

Why Does It Take a Pandemic to Realize the Value of Remote Patient Monitoring?

Sponsored by Maxim Integrated

The headlines that COVID-19 are bringing to us each day serve to highlight the promise of remote patient monitoring. According to the U.S. Centers for Disease Control and Prevention, 6 in 10 American adults live with at least one chronic disease and 4 in 10 adults have two or more. The time is now to embrace and accelerate the deployment of remote patient monitoring to ensure that chronic conditions are managed in a way that can improve outcomes and reduce the need for regular healthcare facility visits.

Click here to download the whitepaper