With the rapid development of artificial intelligence, automatic driving technology and intelligence of mining, unmanned intelligent vehicles in mines have gradually become the important tool for improving operation efficiency in mines, reducing accident incidence and saving costs. In this paper, the key technologies, functions and challenges faced of unmanned intelligent vehicles in mines are systematically analyzed. First, the application background of driverless technology in mine environment is discussed as well as such key technologies as perception, decision making, control and communication it needs in mining operations are analyzed. Second, the core functions of unmanned intelligent vehicles in mines including auto drive and path planning, collaborative operations, safety and exception handling are proposed. Finally, the technical challenges faced by unmanned intelligent vehicles under the working conditions of complex geographical environment, severe weather and high load are analyzed as well as the solutions are proposed and development trend of unmanned intelligent vehicles in the future is prospected. This paper is aimed to provide the theoretical supports and technical references for research and applications of unmanned intelligent vehicles in mines.

unmanned  /  environmental perception  /  computing platform  /  collaborative operations  /  path planning