Multi-factor fused dangerous driving behavior grading warning method

A dangerous driving, multi-factor technology, applied in the direction of alarms, instruments, etc., to improve pertinence and accuracy, reduce early warning interference, and improve user experience

Inactive Publication Date: 2018-12-18
SUZHOU TSINGTECH MICROVISION ELECTRONICS TECH
View PDF5 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the defects in the early warning logic setting of the existing driving behavior detection and early warning products, the present invention proposes a dangerous driving behavior grading early warning method and system based on the fusion of driver status and driving environment multi-factors, which closely combines the early warning with the actual risk, Carrying out graded warnings for dangerous driving behaviors with deep integration of human-vehicle factors can improve the pertinence and accuracy of system warnings

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
  • Multi-factor fused dangerous driving behavior grading warning method
  • Multi-factor fused dangerous driving behavior grading warning method
  • Multi-factor fused dangerous driving behavior grading warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0043] Such as figure 1 As shown, the present invention proposes a dangerous driving behavior grading warning method based on the fusion of driver status and driving environment multi-factors, and introduces a comprehensive evaluation standard for driving behavior risk that combines the driver status and driving conditions, that is, a certain The degree of risk of driving behavior is determined by the fusion of two important factors affecting the driver's state and driving conditions. Divide driving behavior into two dimensions: driver state and driving condition, and evaluate the risk coefficient of each driver state and each type of driving condition, and the risk coefficient of a certain driving behavior = driver state risk Coefficient X driving condition risk coefficient, and then combine this value with the risk degree of this driving behavior when it actually occurs to divide the risk level, and finally choose whether to need early warning and the early warning method ac...

Embodiment approach

[0056] The specific implementation is as follows:

[0057] 1) When the vehicle is running, the terminal product equipped with this early warning method continuously detects the driver's status and the driving conditions ahead in real time, and sends a corresponding early warning signal to the early warning module according to the early warning logic shown in Table 2 according to the detection results, specifically:

[0058] (1) When the system detects that the driver is in a normal state and the driving environment ahead is normal, the system judges that there is no driving risk at this time, and does not perform early warning processing;

[0059] (2) When the system detects the following three driving situations, the system judges that the driving risk is low at this time, does not provide an early warning, and only uploads the evidence of the detected dangerous driving behavior:

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 multi-factor fused dangerous driving behavior grading warning method. The method comprises the steps of dividing a driving behavior into two dimensions of driver states and driving conditions, and judging the driver states and the driving conditions; evaluating a risk factor of each type of driver state and each category of driving condition; obtaining a driving behaviorrisk coefficient, wherein the driving behavior risk coefficient is equal to a driver state factor coefficient multiplying by a driving condition risk coefficient; and dividing risk grades according tothe driving behavior risk coefficient and the driving behavior risk degree, and selecting whether warning is needed and a warning manner according to the risk grade. According to the multi-factor fused dangerous driving behavior grading warning method, warning and the real risk are closely combined, the dangerous driving behavior deeply fused with human-vehicle factors is subjected to grading warning, and thus the pertinence and accuracy for system warning can be improved.

Description

technical field [0001] The present invention relates to an early warning system, in particular to a dangerous driving behavior grading early warning method and system based on multi-factor fusion of driver state and driving environment. Background technique [0002] With the improvement of driving safety awareness and the development of automotive electronic technology, the driving behavior detection and early warning system has become a common driving assistance device on many vehicles, such as the fatigue driving warning system, which is helpful for preventing drivers from fatigue and distraction. Various traffic accidents caused by dangerous driving behaviors have played a significant role. The system is mainly divided into two parts: behavior recognition and risk warning. Behavior recognition mainly completes the detection and recognition of dangerous behaviors such as driver fatigue, distraction, smoking, and mobile phone calls. Risk warning is based on the recognition ...

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 Applications(China)
IPC IPC(8): G08B21/18B60W50/14B60W40/09
CPCB60W40/09B60W50/14B60W2050/143G08B21/182
Inventor 张伟刘花陈小碾
Owner SUZHOU TSINGTECH MICROVISION ELECTRONICS TECH
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