Abstract: A method, system and apparatus for recognizing continuous driving style are provided, which involve the intelligent vehicles field. The method comprises: collecting multi-dimensional driving data from a plurality of drivers in daily driving scenarios, segmenting the driving data to obtain a plurality of driving segments, calculating statistical features of each driving segment to determine high-dimensional continuous driving statistical features, reducing dimensionality of the driving statistical features to generate common factors for each driving segment, representing each driving segment with a driving word based on the common factors, representing all the driving segments of a target driver as a driving word sequence, constructing a hierarchical latent model of driving behavior, and inputting the driving word sequence into the hierarchical latent model of driving behavior to determine the continuous driving style of the target driver.

Abstract: A method, system and apparatus for recognizing continuous driving style are provided, which involve the intelligent vehicles field. The method comprises: collecting multi-dimensional driving data from a plurality of drivers in daily driving scenarios, segmenting the driving data to obtain a plurality of driving segments, calculating statistical features of each driving segment to determine high-dimensional continuous driving statistical features, reducing dimensionality of the driving statistical features to generate common factors for each driving segment, representing each driving segment with a driving word based on the common factors, representing all the driving segments of a target driver as a driving word sequence, constructing a hierarchical latent model of driving behavior, and inputting the driving word sequence into the hierarchical latent model of driving behavior to determine the continuous driving style of the target driver.