TIER IV Advances Autonomous Truck Deployment in Japan

Apr 28, 2025
TIER IV has completed a Japanese government initiative to develop autonomous trucks, utilizing Isuzu and Mitsubishi Fuso vehicles on the Shin-Tomei Expressway.
TIER IV Advances Autonomous Truck Deployment in Japan

TIER IV has completed a significant initiative in collaboration with the Japanese government to advance the deployment of autonomous trucks, announced in a press release. The project, overseen by the Ministry of Economy, Trade and Industry (METI), involved developing an autonomous driving system for highway logistics using commercial trucks from Isuzu and Mitsubishi Fuso.

The autonomous trucks successfully conducted test runs on a new priority lane for autonomous vehicles on the Shin-Tomei Expressway, with support from logistics partners Yamato Multi Charter and Suzuyo Cargo-Net. This marks a significant milestone in creating a scalable and flexible autonomous driving system that can be utilized by various vehicle manufacturers and logistics operators.

TIER IV is committed to advancing autonomous driving technology through its AI-based approach, Autonomy 2.0, and enhancing its open-source software, Autoware. These efforts aim to accelerate the deployment of autonomous trucks and address critical logistics challenges in Japan.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief, Industrial AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI & Robotics AI Brief AI Brief (X)
Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.