Siemens launches autonomous driving digital twin startup
Simulytic combines digital twins and simulation to generate synthetic data for autonomous vehicles and model entire environments
Siemens has launched a startup venture for simulating machine learning systems in autonomous vehicles and industrial automation
Simulytic is headed by CEO Andrea Kollmorgen, who was previously vice president and head of connected eMobility at Siemens and Andy Gill, the former director of connected mobility.
The startup is focused on accelerating autonomous mobility deployment at scale with reliable synthetic data. Simulytic aims to use simulation tools and digital twins to create insight into the impact and safety of autonomous driving.
Simulytic, based in Munich, is already applying Siemens’ experience in the simulation of complex, automated systems and in the use of artificial intelligence in safety-critical applications. Siemens already builds digital twins of vehicles with simulation through the Pave 360 tools and Siemens EDA technology.
This enables the venture to make competitive, comprehensive and independent assessments of incident probabilities, changing traffic flows and congestion patterns, the effects of weather and road conditions, and many other localized factors.
It is building an ecosystem of libraries of simulated driving data in digital replicas of deployment areas that can then be augmented by driving activity in the real world. Using digital tools to understand the consequences is the only way to get around the challenge and equip companies such as insurers with the data necessary to understand a complex, dynamic risk environment, says the company.
Siemens has launched a startup venture for simulating machine learning systems in autonomous vehicles and industrial automation
Simulytic is headed by CEO Andrea Kollmorgen, who was previously vice president and head of connected eMobility at Siemens and Andy Gill, the former director of connected mobility.
The startup is focused on accelerating autonomous mobility deployment at scale with reliable synthetic data. Simulytic aims to use simulation tools and digital twins to create insight into the impact and safety of autonomous driving.
Simulytic, based in Munich, is already applying Siemens’ experience in the simulation of complex, automated systems and in the use of artificial intelligence in safety-critical applications. Siemens already builds digital twins of vehicles with simulation through the Pave 360 tools and Siemens EDA technology.
This enables the venture to make competitive, comprehensive and independent assessments of incident probabilities, changing traffic flows and congestion patterns, the effects of weather and road conditions, and many other localized factors.
It is building an ecosystem of libraries of simulated driving data in digital replicas of deployment areas that can then be augmented by driving activity in the real world. Using digital tools to understand the consequences is the only way to get around the challenge and equip companies such as insurers with the data necessary to understand a complex, dynamic risk environment, says the company.
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