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CONNECTED CARS

Software-Defined Vehicles are now among the top priorities for automotive decision-makers. The integration of advanced software capabilities with cutting-edge hardware platforms is driving this shift, enabling vehicles to evolve into more intelligent, connected, and adaptable systems than ever before. Join us at Software-Defined Vehicles 2026 to explore how the industry plans to leverage SDVs and connected car technologies.

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The Emergence of Software-Defined Vehicles

Automotive companies are steadily focusing on developing vehicles where features and functions are primarily enabled through software, with new SDV platforms and initiatives announced almost every month. At Software-Defined Vehicles 2026, industry leaders will present advancements in centralized computing architectures that support seamless integration of ECUs, sensors, and actuators. Automakers are moving toward unified software platforms to simplify updates and strengthen functionality, while companies are exploring how over-the-air updates can continually improve vehicle performance and user experience. Technology providers will showcase real-time diagnostics, personalized user settings, advanced driver-assistance systems, and enhanced connectivity, while experts demonstrate how software can unlock new capabilities and transform the way people interact with their cars. Early adopters are also testing vehicle-to-everything communication, edge computing, and proof-of-concepts for fully connected mobility ecosystems.

Software Transforming Vehicle Development

Software is reshaping vehicle development as designers and software engineers work closely to create intelligent, adaptive cars. While companies have integrated software into manufacturing processes for years, the next stage is building vehicles where software defines core functionalities. Alongside technical progress, the industry must also address cybersecurity, data privacy, and regulatory compliance. Experts remain confident that many aspects of automotive engineering can be advanced through software methodologies, though challenges persist in integrating complex systems, ensuring functional safety, and delivering accurate simulations.

While new software platforms are transformative, sensor data continues to play a central role in the automotive industry. Many optimization tasks depend on integrating sensor inputs with software algorithms, and as a result, computer vision, sensor fusion, and real-time data analysis remain among the most in-demand applications in the field.

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Topics on the agenda

SYSTEM ARCHITECTURE FOR DEVELOPMENT OF SOFTWARE DEFINED VEHICLES

Day 1: undefined

09:10 - 09:35

SDV - TO BE OR NOT TO BE

Day 1: undefined

11:30 - 11:55

HIGH-PERFORMANCE COMPUTE AND MIDDLEWARE – ENABLING INTELLIGENCE AND AI RELIABILITY IN THE SDV ERA

Day 1: undefined

13:30 - 13:55

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