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: An intelligent driving system with an embedded driver model. The system includes a driver model module that adjusts vehicle performances according to driving characteristics of a driver and road environment. A driver's visual and tactile information may be taken into account when driving a vehicle, so as to tune vehicle performances to allow the vehicle to adapt itself to the individual driver.

Abstract: The present application discloses an intelligent driving system with an embedded driver model. The system includes a driver model module that can tune vehicle performances according to driving characteristics of a driver and road environment. Applying the system provided by the present application to vehicle control systems, the driver's visual and tactile information may be taken into account when driving a vehicle, so as to tune vehicle performances to allow the vehicle to adapt itself to the individual driver.