NOUFERROUS METALLURGICAL EQUIPMENT

Aiming at the development and application of driverless technology for railway locomotives, this paper adopts multi-sensor fusion perception scheme, deep learning-based target recognition and path planning algorithm, and utilizes 5G+ edge computing technology, intelligent management and control technology, accurate alignment technology, AI+ vision technology, and big data technology. Through the practical application test on the railway line of the railway transport section of Dexing Copper Mine, the results show that the proposed railway transport locomotive unmanned driving system can realize the automatic driving of the electric locomotive, and improve the efficiency and safety of railway transportation.