TIER IV has been chosen for a Japanese government project focused on advancing Level 4+ autonomous driving services and addressing local mobility challenges.
The initiative will involve developing standards for high-level autonomy and creating an open dataset combining real-world and synthetic driving data. This dataset will be used to simulate diverse traffic scenarios to support the evaluation and performance testing of autonomous driving systems.
TIER IV will work with consortium partners, including automotive manufacturers and academic institutions, to develop these standards and provide a comprehensive open dataset derived from Level 4+ test vehicles operating in and around Tokyo. The data will be used to simulate a range of driving scenarios, which will help in assessing the safety and performance of autonomous systems.
In collaboration with Carnegie Mellon University, TIER IV has developed a hybrid architecture that combines data-centric AI with traditional robotics principles. This system is intended to enhance the development of autonomous driving technology and ensure transparency in AI decision-making.
The project is part of Japan’s broader Mobility DX Strategy, which aims to establish autonomous taxi services and improve transportation accessibility in various regions of the country.