Latest News / October ‘24 / Join our panel discussion at the UXL Foundation's oneAPI DevSummit 2024 this week!

Autonomous Vehicle Computing Consortium (AVCC)

AVCC collaborates with Autoware Foundation to advance assisted and autonomous vehicle technology by harmonizing efforts, reducing duplication, and establishing shared benchmarks. This partnership focuses on aligning work in functional safety, security, and industry standards, while fostering information exchange and joint marketing initiatives to accelerate innovation in assisted and autonomous driving.

Value Proposition

AVCC unites automotive and technology industry leaders to accelerate the development of safe, affordable autonomous vehicles. By fostering collaboration on non-differentiable challenges, AVCC enables members to pool resources and expertise while maintaining their competitive edge. The consortium focuses on standardization and benchmarking for AV computing, cybersecurity, functional safety, and interconnects. Through working groups and partnerships, AVCC facilitates knowledge sharing and innovation, addressing complex foundational technological challenges collectively. The consortium publishes technical reports providing industry guidance and best practices. Membership enhances brand reputation and signals commitment to advancing autonomous vehicle technology. By collaborating with organizations like Autoware, AVCC drives the industry forward.

Technology Description

AVCC’s working groups address critical aspects of assisted and autonomous vehicle development. These groups focus on key areas such as software portability, benchmarking, AI and cybersecurity, total cost of ownership (TCO), and chiplet technology. AVCC publishes a range of technical reports focused on various aspects of automated and assisted driving systems. These reports cover:

  • Machine learning benchmarking for automated driving systems
  • Cybersecurity baselines for automated and assisted driving
  • Data-oriented communication architecture
  • Models and datasets for benchmarking deep neural networks
  • Deep neural network benchmarking
  • Image signal processing guidelines
  • Conceptual architecture for automated and assisted driving systems

These technical reports provide industry guidance, standardization efforts, and best practices for developing and implementing SDV, ADAS and autonomous vehicle technologies. By developing these technical reports and fostering collaboration through working groups, AVCC aims to improve communication, expedite innovation, and provide valuable guidance for the assisted driving and autonomous vehicle industry.