Category: Documents

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

TR-004 Models and Datasets for Benchmarking Deep Neural Networks for Automated and Assisted Driving Systems

Please complete the following form to access the report download:   About the Report: TR-004 Models and Datasets for Benchmarking Deep Neural Networks for Automated and Assisted Driving Systems The use of Deep Neural Networks (DNNs) has become a foundational enabler in attaining driving capabilities needed for higher levels of autonomy. They have the potential […]

Written by on January 11, 2023

TR-003 Benchmarking Deep Neural Network (DNN) for Automated and Assisted Driving Systems

In the automotive industry, OEMs and Tier 1s commonly send out requests for information (RFIs) and requests for quotation (RFQs) to vendors to understand a solution’s compute performance and system resource requirements. This is a crucial step when assessing whether the sourced part is a suitable choice when designing the next-generation compute platform. Traditionally, some […]

Written by on December 16, 2021