Driver intention recognition method

A technology of driver intention and identification method, applied in the field of driver intention identification, can solve the problem of driver distraction and achieve the effect of increasing accuracy and reliability

Inactive Publication Date: 2015-07-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current patents or products cannot fully understand or capture people’s real intentions and changing trends in real time. When the driver’s environment changes due to the vehicle’s surroundings, such systems often issue alarms or perform actions that are different from the driver’s intentions. On the contrary, it distracts the driver and causes accidents

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
  • Driver intention recognition method
  • Driver intention recognition method
  • Driver intention recognition method

Examples

Experimental program
Comparison scheme
Effect test

example

[0053] For the total mass of 1296kg, the moment of inertia around the Z axis is 1750kgm 2 A four-wheel drive electric vehicle with a wheelbase of 2.57m, a distance of 1.25m from the center of mass to the front axle, a distance of 1.32m from the center of mass to the rear axle, a front track of 1.405m, a rear track of 1.399m, a center of mass height of 0.45m, and a wheel radius of 0.326m. authenticating. The vehicle speed is increased from 0km / h to 13km / h, and emergency barriers and curve braking are completed at the same time. The road friction coefficient is set to u=0.7, which is the normal friction coefficient of dry asphalt roads.

[0054] figure 1 As shown, the driving intention recognition first collects various types of driving behavior data required, and after data preprocessing, the feature value is selected for each data segment, and the abnormal data is eliminated by using the feature value, and the clustering algorithm is used to determine each driving behavior The c...

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 provides a driver intention recognition method. A double-layer recognition structure is proposed based on a multi-dimensional discrete hidden Markov model, behaviors and intentions of a driver are respectively recognized, the behaviors of the driver serve as input for recognizing the intentions of the driver, and recognition accuracy and reliability are enhanced. According to vehicle operating information and vehicle speed, the current operating intention of the driver can be accurately judged, so that conditions are created for improving a vehicular safety auxiliary system.

Description

Technical field [0001] The present invention belongs to the technical field of vehicle identification, and more specifically, relates to a method for recognizing the driver's intention to realize the recognition of the driver's intention to manipulate the vehicle. Background technique [0002] To realize the technology of automobile safety assist system, firstly, it is necessary to recognize the driver's intention and predict the driver's behavior. [0003] In the topic "Integrated Transportation System and Safety Technology" set up in the "863 Program", the topic "Driving Behavior Monitoring and Early Warning Technology and Equipment" was proposed, and its research goals were clarified: through the development of abnormal driving conditions, illegal operations, and poor Driving habits and other monitoring and early warning systems and devices form real-time monitoring technology for driver behavior. However, current patents or products cannot fully understand or capture the real ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): B60W40/08
Inventor 辛晓帅冯颉邹见效徐红兵
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap