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      DRIVING TOMORROW'S SOFTWARE-DEFINED VEHICLES THROUGH THE INTELLIGENT EDGE

      Safer, more immersive, and more personalized than ever, the software-defined vehicle achieves a next-generation experience for drivers and passengers alike by generating and analyzing prolific amounts of data—to the order of tens to hundreds of gigabits per second.

      Cameras and sensors, in-cabin infotainment and driver assistance, as well as self-diagnostics and remote updates: it’s no simple task to support all these functions. Transporting a huge amount of data across wireless networks is not feasible, and potentially detrimental to critical decisions where even a split-second delay matters, such as braking.

      Intelligent Edge processing offers a means to analyze and apply some of that data right at its source, within the vehicle itself. All of this requires innovations in electrical systems architecture in the vehicle—ensuring quality sensing capabilities, edge processing, scalable and flexible technology platforms, sensor-to-cloud connectivity, zonal architectures, etc.

      Discover what it takes to achieve this unprecedented scale of real-time computing and data transport and learn about the electrical systems that make it all possible.

      Featured Participants:

      • Geir Ostrem, Technology Fellow, Automotive Cabin Experience, Analog Devices
      • Leonardo Lara, Vice President - EE Architecture & HW Engineering, Stellantis
      • Prashant Tiwari, Director - Software Platform & Engineering, Volkswagen of America

      Impact of Software-Defined Vehicle Technology on Vehicle Occupants


      The software-defined vehicle is always learning: about itself and its systems to receive software updates, new features, and remote diagnostics; about its driver to deliver a personalized experience; and about the digital ecosystem in which the software-defined vehicle promises to play an ever-growing role.

      Challenges with Generating and Utilizing Vehicle Insights


      Sophisticated edge processing, working together with cloud-based services, provides new opportunities to better process the sheer amount of data generated by cameras, sensors, radar, LIDAR, and more to enable advanced applications in the vehicle.

      Collaborating to Enable the Car as a Mobile Intelligence Center


      The software-defined vehicle requires a scalable and flexible hardware backbone that supports interoperability of various systems across the vehicle, as well as software updates to keep the vehicle at peak operation for the long term.

      Advanced Hardware Platforms for Scalable and Secure Software Deployment


      Design flexibility and simplified hardware architecture support secure software deployment over the air. Data quality and availability, cybersecurity, and IP protection are some of the primary challenges designers will face in creating this next generation of vehicles.