Driving mode recognition method and device, terminal equipment and storage medium

Abstract

The invention discloses a driving mode recognition method and device, terminal equipment and a storage medium. The method comprises the steps that driver data, vehicle data and environment data in the vehicle driving process are acquired; performing data preprocessing on the driver data, the vehicle data and the environment data; performing feature extraction and analysis on the preprocessed data through a feature engineering technology, and selecting an effective feature vector influencing a driving mode by adopting a PCA dimension reduction technology; and establishing a driving mode recognition model according to the effective feature vectors influencing the driving mode, and training and verifying the driving mode recognition model to obtain a driving mode recognition result. Based on a large amount of data in the vehicle driving process, the actual situation of the vehicle driving process can be accurately reflected, and the accuracy of driving mode recognition is effectively improved.

Description

technical field [0001] The present invention relates to the technical field of vehicle intelligent interaction, in particular to a driving pattern recognition method, device, terminal equipment and storage medium. Background technique [0002] With the development of intelligent electric vehicles, people's demand for a good car experience makes people hope that cars will understand themselves more and more, and can customize corresponding service content and assisted driving according to their own status and needs. Therefore, the current electric vehicles are basically equipped with automotive electronic systems such as driver assistance systems and ACC to improve driving safety and comfort. The driving assistance system generally needs to detect and analyze the driving condition data of the vehicle and the driving data of the driver to identify the driving mode of the driver, so as to provide the driver with more humanized services and safer and more comfortable assisted dr...

AI Technical Summary

Problems solved by technology

[0003] However, the current driver's driving pattern recognition methods usually only use a single vehicle operating condition data to identify the driver's driving pattern

This recognition method based on a small amount of data cannot accurately reflect the actual situation of the vehicle driving process, resulting in a low accuracy rate for driver driving pattern recognition

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