Applied Intuition Debuts Self-Driving System Tailored to Japan’s Roads
At its Intersect Japan event, Applied Intuition announced the launch of its Self-Driving System for Japan, designed for the country’s tight urban roads and left-side driving.
- 200+
What Happened
More than 200 attendees gathered in Tokyo for Applied Intuition’s Intersect Japan event, which showcased the company’s physical AI capabilities across automotive, trucking, and industrial sectors. The highlight was the launch of the Self-Driving System (SDS) for Japan, designed to navigate the country’s specific conditions such as tight urban roads, high-complexity intersections, and left-side driving.
The SDS platform is hardware-flexible, supporting passively cooled NVIDIA DRIVE architectures, and runs on standard production hardware for scalable deployment. Attendees saw a Ford Mustang Mach-E operating the self-driving system, a live feed of Isuzu autonomous trucks on the Shin-Tomei Expressway, and a video showing the same technology applied to construction and mining equipment.
- Adriano Quiroga on the decade of simulation and validation behind physical AI deployment.
- Wei Zhan on a new paradigm for autonomous driving and AV 3.0 technologies.
- Malhar Patel on how companies can become AI native across engineering, talent, and finance.
- Will Lin on semiconductor economics and the path to one-box architecture.
Why this matters
The launch shows Applied Intuition can scale its autonomous driving platform globally, addressing Japan’s unique driving challenges without major reengineering.
Terms in This Story
- Physical AI
- Artificial intelligence that controls physical systems such as vehicles, robots, and industrial machinery.
- Self-Driving System (SDS)
- A complete hardware and software platform that enables autonomous driving capabilities.
- One-box architecture
- A centralized computing design that replaces multiple separate controllers with a single high-performance computer for autonomous driving.
Summarised from the linked release; details can be imperfect — always verify against the original source.