Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Position-based driving behavior knowledge graph generation method, device and system

A knowledge graph and behavior technology, applied in the field of location-based driving behavior knowledge graph generation, which can solve problems such as low efficiency and reduced driving safety.

Active Publication Date: 2020-09-01
广东新快易通智能信息发展有限公司
View PDF14 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. During the driving process of the user, based on safety considerations, the user's hands must be placed on the steering wheel, and when screening by the method described in the prior art, not only the efficiency is low, but the safety of driving will be reduced;
[0006] 2. During the driving process of the user, when inputting demand information through voice, due to the limitations of voice recognition, voice length and semantics, the user needs to input multiple times to accurately describe his needs. Not only is the efficiency low, but the user is repeatedly inputting voice During the process, due to the diversion of attention, the safety of driving will also be reduced.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Position-based driving behavior knowledge graph generation method, device and system
  • Position-based driving behavior knowledge graph generation method, device and system
  • Position-based driving behavior knowledge graph generation method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0124] An embodiment of the present invention provides a location-based driving behavior knowledge map generation method, referring to figure 1 As shown, the method includes:

[0125] 101. Obtain the current location of the vehicle and the driver's user information, where the user information is used to describe the driver's current state, behavior and interest.

[0126] Specifically, the driver's current state includes emotional state and physiological state, the driver's behavior includes driving behavior and non-driving behavior, and the driver's interest includes retrieval interest and audio playback interest; this step can be:

[0127] Obtain the driver's emotional state and non-driving actions identified by the image recognition device;

[0128] Obtain the physiological state monitored by the health monitoring equipment;

[0129] Acquiring the driving actions indicated by the vehicle operating parameters;

[0130] Obtain the driver's search keywords recorded by the serv...

Embodiment 2

[0155] An embodiment of the present invention provides a location-based driving behavior knowledge map generation method, referring to figure 2 As shown, the method includes:

[0156] 201. Acquire the driver's emotional state and non-driving actions recognized by the image recognition device.

[0157] Specifically, the identification process of the driver's emotional state can:

[0158] The image recognition device acquires the driver's image in real time, and the image at least includes the driver's face and hands;

[0159] Recognize the driver's facial expression in the image according to the preset depth recognition algorithm, and determine the driver's emotional state according to the facial expression. The emotional state described in the embodiment of the present invention includes happiness, anger, sadness and anxiety;

[0160] According to the preset depth recognition algorithm, the driver's hands motion in the image is recognized, and the driver's non-driving motio...

Embodiment 3

[0250] The embodiment of the present invention provides a location-based driving behavior knowledge map generation device 3, referring to image 3 As shown, the equipment includes:

[0251] The acquisition module 31 is used to acquire the current position of the vehicle and the user information of the driver, and the user information is used to describe the current state, behavior and interest of the driver;

[0252] The obtaining module 31 is also used to obtain state information and environment information of the vehicle, the environment information is used to describe the environment inside and outside the vehicle, and the state information is used to describe the running state of the vehicle;

[0253] The processing module 32 is used to generate a driving behavior knowledge map according to the current time, location, user information, status information and the degree of correlation between environmental information;

[0254] The processing module 32 is also used to obta...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a position-based driving behavior knowledge graph generation method, device and system, and belongs to the field of intelligent vehicles. The method comprises the steps of obtaining recommendation information associated with at least one of current time, position, behavior information, state information and environment information from a historical driving behavior knowledge graph; according to the recommendation information, displaying the driving strategy to a user, so that manual screening by a driver is avoided, the efficiency is improved, and the driving safety isimproved; acquiring recommendation information according to the current time, position, user information, state information and environment information; and displaying the driving strategy to the user according to the recommendation information, so that the demand of the user can be identified under the condition that the user does not need to actively input, the efficiency is improved, and the driving safety is further improved.

Description

technical field [0001] The present invention relates to the field of intelligent vehicles, in particular to a location-based driving behavior knowledge graph generation method, device and system. Background technique [0002] With the popularization of smart vehicles, more and more drivers hope to use various auxiliary facilities in the car, so they need a location-based driving behavior knowledge map generation method to realize their individual needs in the driving process, so that Improve driving experience. [0003] The existing technology provides a location-based information recommendation method. The user inputs voice to describe his needs, and after the user manually screens, the recommended information and driving strategy based on the needs are displayed to the user. [0004] In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0005] 1. During the driving process of the user, bas...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F16/36G06F16/9535
CPCG06F16/367G06F16/9535
Inventor 陈挺郭展良梁家礼
Owner 广东新快易通智能信息发展有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com