Unlock instant, AI-driven research and patent intelligence for your innovation.

A Method of Intelligently Preventing Traffic Accidents Based on Inertial Measurement Unit

An inertial measurement unit, traffic accident technology, applied in the direction of neural learning method, biological neural network model, design optimization/simulation, etc., can solve unreliable problems, achieve the effect of improving accuracy and response speed, and novel driving pleasure

Active Publication Date: 2021-06-08
JILIN UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the unmanned driving technology is not yet perfect, and it is obviously unreliable to use a computer to take over the control of a car that is already driving abnormally.

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
  • A Method of Intelligently Preventing Traffic Accidents Based on Inertial Measurement Unit
  • A Method of Intelligently Preventing Traffic Accidents Based on Inertial Measurement Unit
  • A Method of Intelligently Preventing Traffic Accidents Based on Inertial Measurement Unit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Include the following steps:

[0036] (1) Use the inertial measurement unit IMU to obtain the vehicle acceleration A and angular velocity W in real time;

[0037] (2) According to the acceleration A and the angular velocity W, the machine learning algorithm is used to intelligently judge whether the vehicle is currently in an abnormal driving mode;

[0038] (3) According to the analysis result of step (2), the feedback warning unit makes a corresponding tactile warning.

[0039]The above step (2) adopts a machine learning algorithm to intelligently judge the driving mode of the vehicle, which specifically includes the following steps:

[0040] 1) Using the quaternion method, calculate the yaw straight angle γ of the vehicle according to the angular velocity W and acceleration A obtained by the IMU in real time;

[0041] 2) Number the yaw straight angle γ according to the 8 divisions as corresponding numbers;

[0042] 3) Repeat steps 1) and 2) n times, where n is 3 to...

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 relates to a method for intelligently preventing traffic accidents based on an inertial measurement unit, belonging to a method for preventing traffic accidents from occurring due to faulty driving by drivers. The inertial measurement unit IMU is used to obtain the vehicle acceleration A and angular velocity W in real time; according to the acceleration A and the angular velocity W, a machine learning algorithm is used to intelligently determine whether the vehicle is currently in an abnormal driving mode; the feedback warning unit makes corresponding haptic warnings. The advantage is that the reminder method based on the display of musical transducers makes full use of the physiological characteristics of the human tactile channel, which can effectively and immediately warn drivers who are in various improper driving behaviors, and can also bring a sense of safety under normal driving conditions. A convenient and novel driving pleasure.

Description

technical field [0001] The invention relates to a method for preventing traffic accidents due to driver's faulty driving. An inertial measurement unit (IMU) is used to obtain the heading angle information of a vehicle, and a machine learning algorithm is used to intelligently judge whether the vehicle is in an abnormal driving behavior state, and then through the human body The tactile sensory channel in the dorsal position provides feedback. Background technique [0002] Car accidents are one of the most dangerous killers of human beings, and millions of people die every year all over the world. Statistics show that my country is one of the countries with the largest number of deaths due to traffic accidents in the world. Among many traffic accidents, the illegal driving of vehicle drivers is the main cause of traffic accidents. Drivers' speeding, drunk driving, fatigue driving, illegal overtaking and other behaviors account for 90% of the total number of traffic accidents...

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): G06F30/27G06N3/08
CPCG06N3/084G06F30/20
Inventor 温泉于海洋孙晓颖陈建王庆龙
Owner JILIN UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com