T2 Technology
Achieving Level 4 Autonomous Driving for Trucks Through the Integration of AI and Vehicle Development Technologies
Trucks not only differ in size but also in weight and center of gravity depending on their cargo, requiring control technologies distinct from those used in passenger vehicles. T2 is combining in-house advanced AI technologies with vehicle development expertise to develop the technologies necessary for safe and reliable autonomous truck operation.
Definition of Autonomous Driving System Levels
T2 is advancing the development of Level 4 autonomous trucks, featuring “driverless operation” in which the system performs all driving tasks under specific conditions, replacing human drivers to address logistics challenges.
Core Technologies of Level 4 Autonomous Trucks
Bird’s-Eye-View Spatial Awareness
By integrating sensor data from LiDAR, cameras, and RADAR into an AI model, T2 achieves 360-degree perception of the surrounding environment, even in low-light or rainy conditions.
High-Precision Self-Localization
Even in areas with poor GNSS signal reception, such as tunnels or indoor facilities, global positioning is made possible through the integration of IMU data and high-precision point cloud map matching.
Scene Understanding with the Visual Language Model
Utilizing the Visual Language Model, T2 detects events that affect vehicle driving—such as lane restrictions due to construction—at an early stage, ensuring safe and accurate lane changes.
Heavy Vehicle Motion Control
T2’s control technology maintains high stability and tracking performance, accounting for variables such as cargo load and distribution, tire types (for summer or winter, or mixed), and differences between individual vehicles.
Autonomous Driving Architecture
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Safety-Oriented Design and Technology
Comprehensive Sensor Suite Eliminating Blind Spots
T2 trucks are equipped with multiple cameras, LiDAR, and RADAR sensors. By fusing data from these sensors, the system achieves high-precision object recognition, enabling full 360-degree awareness without blind spots.
Ensuring Safe Operations on the Road
Safety Measures in Case of Emergencies
Level 4 autonomous trucks are designed to operate without a human driver on board. In the event of an accident or system failure, a remote monitoring framework enables supervisors to notify relevant authorities and coordinate a prompt response, while the vehicle is equipped with a system that allows it to safely stop. This mechanism ensures operational safety during driving.
Initiatives to Demonstrate Safety
Thorough Validation on Highways
T2 has successfully completed a demonstration of its Level 2 autonomous truck over the longest domestic highway section in Japan, covering approximately 500 kilometers from Ayase City, Kanagawa Prefecture, to Kobe City, Hyogo Prefecture.
Safety Assessment and Logical Explainability via Mathematical Approach
Traditional safety assessments have primarily relied on statistical validation approaches, such as demonstrating the absence of accidents over 10 million kilometers of driving. In contrast, T2 collaborates with Imiron Inc., a company with advanced expertise and proven track record in safety verification, to strengthen safety assurance. By employing formal methods, we mathematically model driving scenarios such as collision avoidance and safe stopping, and logically derive that these operations are guaranteed to be safe. This approach enhances safety validation and establishes a framework for explaining safety in support of social implementation.