Siemens has unveiled 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. The solution also extends digital twin simulation beyond processors to include automotive hardware and software sub-systems, full vehicle models, the 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.
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-chips’ (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.
The PAVE360 is already on display in the Center for Practical Autonomy Lab in Novi, Michigan aiming to serve as the industry-standard verification and validation program for modeling solutions in the automated driving ecosystem.
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