새로운 프로그램을 위한 혁신적이며, 협업이 가능한 동기화된 프로그램 관리
자동차 및 운송
Integration of mechanical, software and electronic systems technologies for vehicle systems
산업 자세히 보기에너지 및 공공 시설
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
산업 자세히 보기Heavy Equipment
Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
Explore Industry산업용 기계 및 중장비
Integration of manufacturing process planning with design and engineering for today’s machine complexity
산업 자세히 보기Insurance & Financial
Visibility, compliance and accountability for insurance and financial industries
Explore IndustryMedia & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.
Explore IndustrySmall & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore IndustryAutonomous vehicle simulation developed at scale
Autonomous vehicle simulation developed at scale
We invite you to view this webinar to learn how the automotive industry can bring safe and commercially viable autonomous vehicles to market.
Testing autonomous vehicles is seen as increasingly challenging. Autonomous vehicle physical prototypes with human safety-drivers are being questioned as an effective way to prove design reliability of the software and hardware components. Analysts suggest that billions of miles of road testing would be needed to prove autonomous vehicles are safe under all driving scenarios.
How can the automotive industry bring safe and commercially viable autonomous vehicles to market, and how can automakers and their suppliers gain a competitive advantage?
This webinar explains the role of simulation, and how a virtual design environment, with data continuity between different engineering domains, can help engineers solve these challenges. Learn how simulation at various levels — from chips, software algorithms and low-level integrated sub-systems, to the modeling of sensor response to road events and finally to full vehicle-level simulation — together can bridge the gap from autonomous vehicle prototype to series production.
Finally, learn about the importance of integrated design that can trace a digital thread back through the entire design process, ensuring a functionally safe design, and how this systems-driven approach is reducing the amount of physical prototyping and real-world road miles of testing that is required, giving predictable design outcomes faster.
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We invite you to view this webinar to learn how the automotive industry can bring safe and commercially viable autonomous vehicles to market.
Testing autonomous vehicles is seen as increasingly challenging. Autonomous vehicle physical prototypes with human safety-drivers are being questioned as an effective way to prove design reliability of the software and hardware components. Analysts suggest that billions of miles of road testing would be needed to prove autonomous vehicles are safe under all driving scenarios.
How can the automotive industry bring safe and commercially viable autonomous vehicles to market, and how can automakers and their suppliers gain a competitive advantage?
This webinar explains the role of simulation, and how a virtual design environment, with data continuity between different engineering domains, can help engineers solve these challenges. Learn how simulation at various levels — from chips, software algorithms and low-level integrated sub-systems, to the modeling of sensor response to road events and finally to full vehicle-level simulation — together can bridge the gap from autonomous vehicle prototype to series production.
Finally, learn about the importance of integrated design that can trace a digital thread back through the entire design process, ensuring a functionally safe design, and how this systems-driven approach is reducing the amount of physical prototyping and real-world road miles of testing that is required, giving predictable design outcomes faster.