Tag: TR

AVCC Releases a New Report on Compute Scenarios for Benchmarking Machine Learning for Automated and Assisted Driving Systems

SAN JOSE, CA – JUNE 4, 2024 – The Autonomous Vehicle Computing Consortium (AVCC) today announced the publication of Technical Report 007 (TR-007) “Compute Scenarios for Benchmarking Machine Learning for Automated and Assisted Driving Systems.” Developed collaboratively by industry experts, TR-007 provides essential guidance for Original Equipment Manufacturers (OEMs), Tier 1 suppliers, and stakeholders in […]

Written by on June 4, 2024

TR-005 Data-Oriented Communication Architecture for Automated and Assisted Driving Systems

Please complete the following form to access the report download:   About the Report: TR-005 Data-Oriented Communication Architecture for Automated and Assisted Driving Systems AVCC is tackling the challenges of spiraling complexity, costs, and effort of vehicle software system development and maintenance by envisioning an ecosystem of interoperable software components that work together by adhering […]

Written by on September 13, 2023

AVCC Publishes Two Key Technical Reports for the Autonomous Vehicle Compute Industry

SAN JOSE, CA – April 27, 2021– The Autonomous Vehicle Computing Consortium (AVCC), a global collaboration of automotive and technology industry leaders focused on automated and assisted driving compute solutions, today announced the release of two key technical reports, developed to provide the basis for a common autonomous vehicle language, conceptual system architecture, as well […]

Written by on April 27, 2021