Integration of mechanical, software and electronic systems technologies for vehicle systems了解行业应用
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets了解行业应用
Integration of manufacturing process planning with design and engineering for today’s machine complexity了解行业应用
Insurance & Financial
Visibility, compliance and accountability for insurance and financial industriesExplore Industry
Media & 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 Industry
Faster time to market, fewer errors for Software DevelopmentExplore Industry
Small & 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 Industry
Critical Scenario creation can be optimized by using AI
Identify Safety Of The Intended Functionality (SOTIF) unknown-unsafe scenario creation from recorded and processed traffic data, using AI and simulation
With increasing automation levels, there is an exponential increase in the number and variety of scenarios that autonomous driving systems must be able to react to - all while maintaining a safe and comfortable environment. As a result, automated vehicle functionalities need to be tested and validated, driving millions of miles. AI-based optimization algorithms provide the solution to identifying critical scenarios from recorded / synthetic data and accelerates the development and testing of autonomous driving systems.
In this webinar, learn how to identify critical scenarios and mitigate unsafe situations by testing the AD function in critical scenarios, leveraging Siemens’ AI optimization-based methodology.
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