Dangerous driving behavior recognition and dangerous event prediction method and device and storage medium

A technology for dangerous driving and dangerous events, applied in character and pattern recognition, traffic flow detection, computer parts and other directions, can solve the problem of inaccurate identification of dangerous driving behaviors, and achieve the effect of reducing losses

Active Publication Date: 2020-02-18
深圳鼎然信息科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the main purpose of the present invention is to propose a dangerous driving behavior identification and dangerous event prediction method, device and storage medium to solve the technical problem of inaccurate identification of dangerous driving behavior existing in the prior art

Method used

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  • Dangerous driving behavior recognition and dangerous event prediction method and device and storage medium
  • Dangerous driving behavior recognition and dangerous event prediction method and device and storage medium
  • Dangerous driving behavior recognition and dangerous event prediction method and device and storage medium

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Experimental program
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Embodiment 1

[0061] See figure 1 , Embodiment 1 of the present invention provides a method for identifying dangerous driving behaviors and predicting dangerous events, wherein the method includes:

[0062] S10, collecting dynamic driving data of the vehicle at the current moment;

[0063] S20. Obtain the dangerous driving characteristic value at the current moment according to the dynamic driving data;

[0064] S30. Obtain historical driving data of the vehicle within a specified historical time period;

[0065] S40. Obtain a driving behavior characteristic value according to the historical driving data;

[0066] S50. Comparing the characteristic value of the dangerous driving with the characteristic value of the driving behavior to obtain a comparison value, and determining whether the vehicle is currently in a dangerous driving behavior according to the comparison between the comparison value and a preset threshold, and predicting the probability of occurrence of a dangerous event.

...

Embodiment 2

[0109] See figure 2 Embodiment 2 of the present invention provides a dangerous driving behavior recognition and dangerous event prediction device corresponding to the aforementioned dangerous driving behavior recognition and dangerous event prediction method, the device comprising:

[0110] The collection module 10 is used to collect the dynamic driving data of the current moment of the vehicle;

[0111] The dangerous driving characteristic value acquisition module 20 is used to acquire the dangerous driving characteristic value at the current moment according to the dynamic driving data;

[0112] A historical driving data acquisition module 30, configured to obtain historical driving data of the vehicle within a specified historical time period;

[0113] A driving behavior characteristic value acquisition module 40, configured to obtain a driving behavior characteristic value according to the historical driving data;

[0114] A comparison module 50, configured to compare t...

Embodiment 3

[0117] See image 3 , the present invention corresponds to the method of the above-mentioned embodiment 1 and also correspondingly provides a dangerous driving behavior identification and dangerous event prediction device, the device mainly includes:

[0118] at least one processor 401; and,

[0119] A memory 402 communicatively connected to the at least one processor; wherein,

[0120] The memory 402 stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor 401, so that at least one processor 401 can execute the instructions described in Embodiment 1 of the present invention. Methods. For a detailed description of the device, please refer to Embodiment 1, which will not be repeated here.

[0121] Specifically, the above-mentioned processor 401 may include a central processing unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured to i...

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PUM

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Abstract

The invention discloses a dangerous driving behavior recognition and dangerous event prediction method and device, equipment and a medium. The method comprises the steps that dynamic driving data of avehicle at the current moment are collected; acquiring a dangerous driving characteristic value at the current moment according to the dynamic driving data; acquiring historical driving data of the vehicle in a specified historical time period; acquiring a driving behavior characteristic value according to the historical driving data; and comparing the dangerous driving characteristic value withthe driving behavior characteristic value to obtain a comparison value, comparing the comparison value with a preset threshold value to determine whether the vehicle is currently in a dangerous driving behavior or not, and predicting the probability of a dangerous event. According to the invention, under the condition that certain driving data is collected and stored in advance, dangerous drivingcan be quickly identified and warned without increasing high hardware cost, and dangerous driving behaviors can be quantitatively identified.

Description

technical field [0001] The present invention relates to the technical field of intelligent driving, in particular to a dangerous driving behavior identification and dangerous event prediction method, device and storage medium. Background technique [0002] Dangerous driving can easily lead to car accidents. Car accidents are one of the most dangerous killers of human beings. Millions of people die every year around the world. In China alone, about 100,000 people die in car accidents every year. With the development of society and the advancement of science and technology, the application of semi-automatic driving and automatic driving technology is becoming more mature, and the equipment for collecting vehicle driving data is becoming more and more diverse. [0003] Although technologies such as assisted driving and automatic driving are gradually entering people's field of vision, people use more and more sensors to collect data in automotive technology. Whether it is the d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G08G1/01G08G1/052
CPCG08G1/01G08G1/052G08G1/0104G06V20/597
Inventor 郭学提代小朋于忠华邹家伟
Owner 深圳鼎然信息科技有限公司
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