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Human-vehicle interaction habit learning method and system based on breadth

A learning algorithm and human-vehicle interaction technology, applied in the field of vehicle control, can solve problems such as poor interaction effect and poor user experience, and achieve the effect of reducing interaction frequency and improving user experience

Pending Publication Date: 2020-03-06
ANXINTONG TECH MACAO
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The present invention provides a human-vehicle interaction habit learning method and system based on a breadth learning algorithm to solve the problems in the prior art that vehicles require frequent user interaction, poor user experience, and poor interaction effects

Method used

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  • Human-vehicle interaction habit learning method and system based on breadth
  • Human-vehicle interaction habit learning method and system based on breadth
  • Human-vehicle interaction habit learning method and system based on breadth

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Embodiment Construction

[0045] The following describes the technical solutions of the present invention in detail through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific technical features in the embodiments are only descriptions of the technical solutions of the present invention, not limitations, and in the case of no conflict The embodiments of the present invention and the specific technical features in the embodiments can be combined with each other.

[0046] Such as figure 1 Shown is a flowchart of a method for learning human-vehicle interaction habits of a width learning algorithm in an embodiment of the present invention. The method includes:

[0047] S1, obtain the user's car usage data;

[0048] S2: Bring the user's user habits data to the model trainer to obtain the training model;

[0049] S3: Write the training model into the habit model table, and match the corresponding prediction execution content in th...

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Abstract

The invention discloses a human-vehicle interaction habit learning method and system based on a breadth learning algorithm. Through the method provided by the invention, the learning is performed through an increment learning model according to vehicle using habit data of a user and real-time data of the user, and prediction learning content corresponding to the vehicle using habits of the user can be predicted, so that the user is unnecessary to frequently control the vehicle, but the vehicle directly executes the control according to the learning content, the interaction frequency between the vehicle and the user is reduced, and the user experience is improved.

Description

Technical field [0001] This application relates to the field of vehicle control technology, and in particular to a method and system for learning human-vehicle interaction habits of a width learning algorithm. Background technique [0002] With the rapid increase in car ownership, the per capita travel mileage has also increased significantly, traffic conditions have become more and more complicated, and drivers have gradually become dependent on various dedicated in-vehicle devices and smartphone-based APP applications. Various car-assisted driving equipment, dedicated car navigation equipment, and smartphone-based map APP applications are also extremely active in the automotive front-end and rear-end markets. [0003] In addition to the conventional APP and other applications, the on-board voice system has also been widely used. For example, users can control the music and air conditioning in the car through voice, or control other functions. In this way, users can more convenien...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 韩子天卢桂斌李立标关兆威陈俊龙
Owner ANXINTONG TECH MACAO
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