Abstract
In this chapter, train unmanned driving algorithms based on the reasoning and learning strategy are introduced. Mainly including three aspects, namely the current status and technical progress of train unmanned controlling algorithm, the connotation and composition of train unmanned driving algorithm, and the calculation process and analysis of train unmanned driving algorithm. To comprehensively evaluate the unmanned train algorithm used, the positioning and navigation phase, the path planning phase, and the object detection phase are described. With the rapid development of artificial intelligence technology, more and more machine learning algorithms have been applied to unmanned driving applications. In the future development process, the train unmanned and automated degree will be greatly improved.
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