Beijing Institute of Technology

Chaopeng Zhang

Yao Wei

Junqiang Xi

Wenshuo Wang

Zikun Zhou

Zhaokun Chen

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.

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Beijing, China

Chaopeng Zhang