Development of Driving Intelligence Validation Platform (DIVP®) for ADS Safety Assurance

Abstract

SIP, or Cross-ministerial Strategic Innovation Promotion Program is a 5 year R&D program led by the Japan government. SIP-adus, or automated driving system for universal service aims to realize automated driving systems (ADS) with Government-Industry-Academia cooperation. SIP-adus focuses on cooperative R&D themes such as Dynamic Map, Safety assurance, Cybersecurity, and so on. Safety assurance is quite important for spread of ADS. A collaborative consortium was established for the development of Driving Intelligence Validation Platform (DIVP®) [1] for Automated Driving Safety Assurance. This research project is developing an assessment platform using simulators to create a virtual model by adopting a series of models consisting of driving environments, spatial propagation, and sensors that are highly consistent with the actual phenomena required to assess the safety of automated driving. The goal and current status of DIVP® activity is explained in this report.