Decision-making method for driving behavior of underground unmanned auxiliary transport vehicle based on multi-source information fusion

The invention discloses an underground unmanned auxiliary transport vehicle driving behavior decision-making method based on multi-source information fusion. A vehicle-mounted sensor is used for obtaining multi-source sensing information of a vehicle in the underground driving process; dividing levels of the multi-source sensing information according to the risk degree, and dividing priorities of different levels of sensing information according to the vehicle safe driving threat degree; designing a driving mode according to the operation condition; converting the obtained perception information into unmanned auxiliary transport vehicle behavior information according to different levels, and autonomously deciding a driving mode according to the unmanned auxiliary transport vehicle behavior information and a safety evaluation standard. According to the method, multi-source information is subjected to risk hierarchy classification to realize information fusion, so that the problem that the decision-making speed