Research and development of mix-operation mode of unmanned electrical trucks and normal trucks in the Middle East ports
To achieve the mix-operation mode of unmanned electrical trucks and normal trucks. Our terminal takes the high-sensitive perceptual system, including industrial-grade dynamic sight with a high-precision binocular AI camera and millimeter wave radar. Utilize GNSS to locate the position of unmanned electrical trucks. Using a vehicle management system, real-time task allocation is completed based on yard information, achieving intelligent scheduling and fully automated path planning. Event recording and data management are utilized for time backtracking and data analysis, and buffer zones are generated under the QC to avoid congestion and collisions.
Artificial Intelligence And Digital Services
Artificial intelligence
29 months
Khalifa Port, Abu Dhabi - U.A.E
Promoting the progress of unmanned driving practices at CSP Abu Dhabi terminals, achieving intelligent operation coverage throughout the entire terminal area, reducing carbon emissions, and expected to save 140,000 liters of fuel consumption annually.
The Environmental Protection Award presented by the Maritime Standard；Port&Terminal Innovation Award presented by Seatrade Maritime.
N.A.
