Innovation and collaborative, synchronized program management for new programs
Aerospace & Defense
Innovation and collaborative, synchronized program management for new programs
Explore IndustryAutomotive & Transportation
Integration of mechanical, software and electronic systems technologies for vehicle systems
Explore IndustryProdukty konsumenckie i handel detaliczny
Innowacyjność produktów poprzez efektywne zarządzanie zintegrowanymi recepturami, opakowaniami i procesami produkcyjnymi
Dowiedz się więcej o branżyElectronics & Semiconductors
New product development leverages data to improve quality and profitability and reduce time-to-market and costs
Explore IndustryEnergy & Utilities
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
Explore IndustryHeavy Equipment
Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
Explore IndustryIndustrial Machinery
Integration of manufacturing process planning with design and engineering for today’s machine complexity
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Visibility, compliance and accountability for insurance and financial industries
Explore IndustryMarine
Shipbuilding innovation to sustainably reduce the cost of developing future fleets
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 IndustryMedical Devices & Pharmaceuticals
“Personalized product innovation” through digitalization to meet market demands and reduce costs
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 IndustryPython API for Adaptive AUTOSAR
Python API for Adaptive AUTOSAR
Using Python to accelerate AUTOSAR Adaptive software development
The automotive industry is undergoing a lot of change, with conflicting pressure to cut costs and innovate faster, all while breaking new ground with technologies that are quite different from those that have gone before. The AUTOSAR Classic Platform is now widely used and proven in traditional ECU’s. Today, as computing power increases, the need to process more data has resulted in the AUTOSAR Adaptive Platform becoming increasingly important. The complex new functions associated with features in the ADAS domain, and others, bring new types of engineers with different skill sets. When combined with traditional automotive engineering, there is a need to rapidly build up proof of concept tests to confirm development paths. Our engineering teams have developed a set of Python bindings to support the rapid prototyping of new functions, running on an AUTOSAR Adaptive Platform ECU, enabling a pathway to support full production development of the software after the concept is proven. In this presentation, there will be a few examples of how this approach can be applied.
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Using Python to accelerate AUTOSAR Adaptive software development
The automotive industry is undergoing a lot of change, with conflicting pressure to cut costs and innovate faster, all while breaking new ground with technologies that are quite different from those that have gone before. The AUTOSAR Classic Platform is now widely used and proven in traditional ECU’s. Today, as computing power increases, the need to process more data has resulted in the AUTOSAR Adaptive Platform becoming increasingly important. The complex new functions associated with features in the ADAS domain, and others, bring new types of engineers with different skill sets. When combined with traditional automotive engineering, there is a need to rapidly build up proof of concept tests to confirm development paths. Our engineering teams have developed a set of Python bindings to support the rapid prototyping of new functions, running on an AUTOSAR Adaptive Platform ECU, enabling a pathway to support full production development of the software after the concept is proven. In this presentation, there will be a few examples of how this approach can be applied.
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