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Traffic safety risk dynamic prediction method and system for intelligent driving automobile

A technology for safe state prediction and intelligent driving. It is used in prediction, combustion engine, data processing applications, etc., and can solve problems such as low prediction accuracy and inability to predict safety risks.

Active Publication Date: 2021-03-26
青岛未来网络创新技术有限公司 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the intelligent driving technology of automobiles has reached the level that can control the safe driving of automobiles on specific roads. However, in the face of complex and changeable actual traffic conditions full of uncertainties, intelligent driving technology has shown its ability in the dynamic prediction of traffic safety risks. Deficiencies and bottlenecks
In order to solve the shortcomings of intelligent driving technology in the dynamic prediction of traffic safety risks, technicians from all over the world have proposed different technical solutions, such as vehicle trajectory prediction, traffic condition prediction, and collision prediction based on high-definition maps or high-definition cameras or millimeter-wave radars. Although these technologies have improved the response and control of unexpected traffic situations, most of them simply use the distance between the vehicle and the target as the prediction criterion, and the prediction accuracy is low, and they cannot integrate vehicles, vehicles, etc. Predict the possible safety risks caused by the traffic situation based on the information of people inside and objects outside the vehicle

Method used

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  • Traffic safety risk dynamic prediction method and system for intelligent driving automobile
  • Traffic safety risk dynamic prediction method and system for intelligent driving automobile
  • Traffic safety risk dynamic prediction method and system for intelligent driving automobile

Examples

Experimental program
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Effect test

Embodiment 1

[0059] A dynamic prediction method for traffic safety risks for intelligent driving vehicles, such as figure 1 , including the following steps,

[0060] Step one S101, read the status information of the people in the car, the status information of the people in the car includes: the vital signs information of the driver and passengers, the seat belt insertion and removal status information, and the driving status information of the driver;

[0061] Step 2 S201, read the vehicle state information, the vehicle state information includes: vehicle driving state information, vehicle structure safety state information, tire pressure state information;

[0062] Step 3 S301, read the environment information outside the vehicle, the environment information outside the vehicle includes: driving road state information, vehicle driving state information outside the vehicle, pedestrian and object state information outside the vehicle, traffic sign information;

[0063] Step 4 S401, vehicl...

Embodiment 2

[0082] The traffic safety risk dynamic prediction method for intelligent driving vehicles in Embodiment 1 can also be specific. In Step 5 S501, the corresponding relationship between the calculation result evaluation standard of the safety state prediction model of people outside the vehicle, vehicles and objects and the content of the safety reminder is as follows:

[0083] Evaluation parameters If the calculated value of the model is less than or equal to 10, the content of the safety reminder is: there is a risk,

[0084] Evaluation parameters 10

[0085] Evaluation parameters If the calculated value of the model is ≥35, the content of the safety reminder is: Highly Dangerous;

[0086] Evaluation parameters If the calculated value of the model is less than or equal to 10, the content of the safety reminder is: there is a risk,

[0087] Evaluation parameters 10

Embodiment 3

[0105] The intelligent driving vehicle of embodiment 1 or embodiment 2 is used for the forecasting system of traffic safety risk dynamic prediction method, such as figure 2 , including a vehicle state sensor, a vehicle interior sensor, a vehicle exterior environment sensor, a controller 031, a multimedia display alarm device 051 and an emergency communication device 061;

[0106] The vehicle state sensor includes an accelerator pedal position sensor 011, a brake pedal position sensor 012, a steering wheel steering angle sensor 013, a GPS positioning system 014, a body structure sensor 015 and a tire pressure sensor 016, and the vehicle state sensor is used to collect vehicle Driving status information, vehicle structure safety status information, tire pressure status information;

[0107] The in-vehicle sensors include a seat sensor 021 and an in-vehicle camera 022, and the in-vehicle sensors are used to collect vital sign information of drivers and passengers, safety belt in...

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PUM

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Abstract

The invention discloses a traffic safety risk dynamic prediction method and system for an intelligent driving automobile, and the prediction method comprises the steps: reading the state information of persons in the automobile, and reading the state information of the automobile, wherein the state information of the automobile comprises the driving state information of the automobile, the structure safety state information of the automobile, and the tire pressure state information; reading vehicle exterior environment information, predicting a vehicle safety state, predicting personnel safetyinside and outside the vehicle and a vehicle exterior facility state, sending out an alarm, and calling the police; according to the method and system, state information of a vehicle, personnel in the vehicle and objects outside the vehicle is integrated, a prediction model is established for safety states of the vehicle, the personnel in the vehicle and the objects outside the vehicle, and the damage degree of the running vehicle, personnel in the vehicle and objects outside the vehicle in possible accidents is dynamically predicted by utilizing the model; mathematical theoretical basis is provided for detailed evaluation of personnel and object damage conditions in possible accidents, a calculation result can provide data support for a control strategy of intelligent driving, and a safer and more correct control decision can be made.

Description

technical field [0001] The present application relates to the technical field of automobile intelligent driving, and in particular to a dynamic prediction method of traffic safety risks for intelligent driving automobiles and a prediction system thereof. Background technique [0002] Automobile intelligent driving technology is based on the introduction of intelligent control technology on the basis of traditional automobiles, and then realizes assisting the driver to drive the car, or even driving the car independently without a driver. Stress matters. At present, the intelligent driving technology of automobiles has reached the level that can control the safe driving of automobiles on specific roads. However, in the face of complex and changeable actual traffic conditions full of uncertainties, intelligent driving technology has shown its ability in the dynamic prediction of traffic safety risks. There are deficiencies and bottlenecks. In order to solve the shortcomings ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0635G06Q50/06G06Q10/067Y02T10/40
Inventor 李世征王亮王堃刘杨
Owner 青岛未来网络创新技术有限公司