TOKYO – October 29, 2026 -- Australia's National Transport Research Organisation (NTRO) has bought a 15-seater electric autonomous bus from Japan's TIER IV, opening demonstrations and in-service trials to transport agencies and operators across Australia and New Zealand.

Munich – October 15, 2026 -- TIER IV and the Technical University of Munich (TUM) have established the TUM Autoware Research Center by TIER IV, a multi-year research collaboration that combines three TUM research groups to build safe, scalable autonomous driving systems on the open-source Autoware stack.

Tokyo – October 04, 2026 -- TIER IV, the developer of open-source autonomous driving software Autoware, has been selected by Japan's Ministry of Economy, Trade and Industry for a grant program backing collaborative technology initiatives in the Global South, under which it will conduct autonomous bus field operational tests (FOTs) in Saudi Arabia.

Tokyo – September 30, 2026 -- TIER IV, the developer behind the open-source autonomous driving software Autoware, has joined Arm Total Design for Physical AI, a move aimed at expanding Autoware's availability across Arm-based system-on-chips and in-vehicle computing platforms.

Tokyo – September 30, 2026 -- TIER IV, the developer behind the open-source Autoware platform, will begin sales on September 30, 2026, of two new automotive-grade cameras built for commercial-scale Level 4 autonomous driving. The C1-120MP and C2-120MP feature a 120-degree wide-angle lens designed to close peripheral blind spots around autonomous vehicles.

Tokyo – September 24, 2026 -- TIER IV, the developer behind the open-source Autoware autonomous driving platform, will co-host a hands-on AI and autonomous driving education event for junior and senior high school students on September 26 at the National Museum of Emerging Science and Innovation (Miraikan) in Tokyo.

Tokyo – September 24, 2026 -- TIER IV, the developer of the open-source Autoware autonomous driving platform, has released a reference design for autonomous racing kart systems on a public GitHub repository, providing a common technical foundation used by 240 teams and roughly 600 participants in Japan's Autonomous Driving AI Challenge.