- SOLIZE Ureka Technology and Saginomiya jointly developed advanced autonomous driving simulator technology.
- The simulator enables autonomous, manual, and driver assistance driving under race track limit conditions.
SOLIZE Ureka Technology and Saginomiya Seisakusho have jointly announced the development of a new autonomous driving simulator technology designed to reproduce vehicle behavior under extreme driving conditions. The collaboration combines autonomous driving algorithm expertise with advanced motion platform systems to create a more immersive and technically accurate driving simulator experience. The newly developed platform allows users to experience autonomous driving, manual driving, and driver assistance functions while simulating vehicle behavior near handling limits typically encountered on race tracks.
The initiative was developed by SOLIZE Ureka Technology, a group company of SOLIZE Holdings Corporation based in Chiyoda Ward, Tokyo, together with Saginomiya Seisakusho, headquartered in Shinjuku Ward, Tokyo. The companies focused on integrating advanced driving algorithms with high-performance simulator hardware to improve evaluation capabilities for automotive applications. The project aims to support both domestic and international automotive-related industries by offering realistic driving condition simulations that are difficult to reproduce safely in real-world testing environments.
Core Technologies Used in the Driving Simulator
SOLIZE Ureka Technology contributed its expertise in autonomous driving simulation and algorithm development. The company has been working on technologies related to target route calculation, vehicle speed optimization, and control systems for steering, acceleration, and braking. These algorithms are designed to support autonomous vehicle behavior and advanced driver assistance systems while ensuring stable operation even under demanding driving conditions. The newly integrated simulator environment allows these systems to be evaluated with higher precision and improved responsiveness.
Saginomiya Seisakusho contributed motion platform technologies that are already supplied to automotive-related industries in both Japan and overseas markets. The motion platform is designed to replicate dynamic vehicle movements and road feedback during simulator operation. By integrating these capabilities with autonomous driving algorithms, the companies established an environment where users can experience highly realistic vehicle behavior, including aggressive handling conditions commonly associated with race track driving scenarios.
Driving Modes Available in the Simulator
The simulator technology supports three primary driving modes that can be experienced under limit-handling conditions. These include autonomous driving mode, manual driving mode, and driving assistance mode. The autonomous driving mode enables the vehicle to operate using developed algorithms without driver input, while manual mode allows drivers to directly control the vehicle. The driving assistance mode combines human driving input with electronic support systems designed to improve vehicle stability and control.
By supporting multiple operating modes within a single simulation environment, the platform provides broader testing and development opportunities for automotive manufacturers and engineering teams. Developers can evaluate how autonomous systems interact with human drivers while analyzing vehicle responses during rapid acceleration, braking, and steering transitions. This capability is expected to support future advancements in autonomous mobility technologies and advanced driver assistance systems.
Key Features of the Autonomous Driving Simulator Technology
| Feature | Description |
|---|---|
| Autonomous Driving Mode | Enables vehicle operation using autonomous driving algorithms |
| Manual Driving Mode | Allows direct driver control under simulated limit conditions |
| Driving Assistance Mode | Combines driver input with assistance technologies |
| Motion Platform | Replicates realistic vehicle dynamics and movement feedback |
| Race Track Simulation | Supports evaluation under high-load driving conditions |
The companies stated that the simulator technology enables advanced experiential evaluation of autonomous driving and driver assistance algorithms under demanding operational conditions. The ability to simulate vehicle behavior at handling limits provides engineers with additional development flexibility while reducing dependence on expensive and potentially risky real-world testing. The collaboration demonstrates increasing industry focus on advanced simulation environments as automotive technologies become more software-driven and autonomous functionality continues to expand.
Frequently Asked Questions
What is the purpose of the autonomous driving simulator developed by SOLIZE Ureka Technology and Saginomiya?
The autonomous driving simulator was developed to reproduce realistic vehicle behavior under extreme handling conditions while supporting autonomous driving and driver assistance system evaluations. The platform combines motion simulation technology with autonomous driving algorithms to create an advanced testing environment for automotive development. It enables engineers and users to experience autonomous driving, manual driving, and driving assistance modes while analyzing steering, braking, and acceleration behavior in race track-like scenarios that would be difficult or unsafe to reproduce during physical testing.
What driving modes are supported by the new simulator technology?
The simulator supports autonomous driving mode, manual driving mode, and driving assistance mode within a single integrated platform. Autonomous mode allows the vehicle to operate using developed driving algorithms, while manual mode enables direct driver control. The driving assistance mode combines human input with support technologies designed to improve vehicle stability and handling performance. This multi-mode capability allows automotive developers to study system behavior, driver interaction, and vehicle response under various operational conditions using a realistic simulation environment.
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