Page History

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• Location: Around Novi, not at the AMM site. If possible at a member organization nearby
• Intended audience: Individuals with good knowledge in the areas to be discussed

Date and time

Tuesday, September 24 · 9:30am - 5pm EDT

Location

COVESA AMM 2024 Technical Summit (September 24th) at NXP

28125 Cabot Drive Novi, MI 48377

Theme

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Strategizing the future of Digital

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Data

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Centric Vehicles

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Goals

• Deep dive what is next for the COVESA Data Expert Group producing recommendations and roadmap.
• Engage more members
  • Motivate to contribute and create useful work product
• Helpful for community to see tangible work product

Outcomes

Agenda Topics

• Top down requirements for scaling VSS to adjacent domains
  • How best to capture requirements?
  • Right level
  • How to engage adjacent domains?
• VSS role in Data-Centric Architectures
• Standardization
• API Design with VSS
  • Case study DDS with higher level types lower the bar the integration
  • VISS - v3 - What is required to drive use in and out of vehicle
  • Automotive API
• Enabling and Realizing Cross Cutting Use Cases

Agenda

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This includes but is not limited to:  data centric architectures, VSS, common vehicle interfaces,

What do we want to achieve?

• Come to common understanding of where we are today.
• Identify areas where work is needed
• Create actionable recommendations and roadmap for work product in COVESA

This includes but is not limited to:  data centric architectures, VSS, common vehicle interfaces...

Proposed Agenda

• Introductions
  • Housekeeping
  • Individual Introduction and their Motivation
• Overview of Big Picture
  • Data centric vehicle and zonal approach
  • Integration with cloud and smart devices
• Feedback and adaptation of the big picture
  • Where do you fit?
  • What do you think?
  • What is missing?
  • What should be changed?
• Your tech pitches that would potentially fit the big picture
  • Where do fit? 
  • What enablers?
  • What solutions?
• Based on the above split into groups identifying and targeting white-space
  • Present findings

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Round of introductions

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Proposed Topics and Availability

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