A driving behavior prediction method and device, and an unmanned vehicle. The method comprises: acquiring a driving behavior sequence within a predetermined continuous period of time (210), each driving behavior comprising a driving operation and scenario information corresponding to the driving operation; mapping the driving behavior sequence to generate a driving behavior vector (220), wherein the dimension of the driving behavior vector is less than the number of driving behaviors comprised in the driving behavior sequence; and training a pre-established driving behavior prediction model using the driving behavior vector as a training sample (230), wherein the driving behavior prediction model is used to predict a driving behavior vector on the basis of the received current scenario information. According to the method, the driving behavior vector predicted by the trained driving behavior prediction model is characterized by having a plurality of temporally continuous and interrelated driving behaviors, thereby being able to ensure the correlation between each driving behavior comprised in the driving behavior sequence generated on the basis of the driving behavior vector obtained by prediction.
DRIVING BEHAVIOR PREDICTION METHOD AND DEVICE, AND UNMANNED VEHICLE