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Method for judging driving risks based on different road situations

A technology of driving risk and road conditions, which is applied in the direction of registration/instruction of vehicle operation, instruments, registration/instruction, etc., which can solve the problems that insurance companies cannot provide basis for auto insurance renewal pricing, and achieve the effect of objective information and convenient design

Active Publication Date: 2018-03-09
DALIAN ROILAND SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the current various applications of ADAS, the main simple passive alarms are still the main ones, such as: speeding reminders, lane departure warnings, front and rear collision warnings, etc., which have not fully exerted their potential value, nor can they provide insurance for insurance companies. Provide basis for renewal pricing

Method used

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  • Method for judging driving risks based on different road situations
  • Method for judging driving risks based on different road situations
  • Method for judging driving risks based on different road situations

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] This embodiment provides a method for judging driving risk based on different road conditions, including:

[0026] S1: Determine the driving state of the car;

[0027] The acceleration sensor group senses the acceleration value of the corresponding direction of the car, the gravity sensor group senses the acceleration value of the car in the direction of gravity, the geomagnetic sensor group senses the angle value between the car and the geomagnetic direction, and the ADAS smart terminal sets the threshold value of the car acceleration value The ADAS intelligent terminal establishes a rotation matrix according to the data of the geomagnetic sensor group and the gravity sensor group and their initial data, and obtains the vector angle of the vehicle in space through the transformation matrix to obtain the running posture of the vehicle. The ADAS intelligent terminal constructs a space Three-dimensional coordinate system, according to the vehicle acceleration value collec...

Embodiment 1

[0033] For embodiment 1, this embodiment provides a system for judging driving risk, including: an ADAS intelligent terminal, a server end, and a terminal; the ADAS intelligent terminal includes an on-board sensor module, a central processing unit, an in-vehicle output module, and a wireless communication module, The central processing unit is respectively connected with the vehicle sensor module, the vehicle output module and the wireless communication module, and the server is respectively connected with the wireless communication module and the terminal signal. The server end sends the car driving risk analysis results to the terminal, establishes a network connection with the server end through the terminal, and can send a request to the server end through the terminal 4 to obtain the status information of the designated or bound car or the result of the car driving risk analysis , and the server can also directly send vehicle status information or vehicle driving risk anal...

Embodiment 3

[0050] As a supplement to Embodiment 2, the ADAS driving behavior and risk comprehensive judgment data model is installed on the server side, and the following processing is performed: the driving data (GPS positioning data and road condition information) are divided into driving areas; Single-factor evaluation; based on the evaluation factor weight matrix, the importance of each single-factor evaluation is sorted, and the comprehensive evaluation calculation is performed to obtain a comprehensive driving risk evaluation; the evaluation result is stored and can be output to the user access terminal and the insurance company access terminal as needed in the future ;

[0051] The model adopts the neural network self-learning mechanism:

[0052] Negative feedback mechanism: Based on the accident situation and accident data in the area, judge its key operations (such as vehicle speed, acceleration, and lane change), and adjust the weight and threshold of the corresponding value; i...

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Abstract

The invention discloses a method for judging driving risks based on different road situations. The method comprises the following steps: S1, confirming a driving state of a vehicle; S2, confirming anambient state of the vehicle; S3, confirming driving risk scoring. The method is implemented through an ADAS (Automatic Data Acquisition System) intelligent terminal, a server and a terminal, whereinthe ADAS intelligent terminal comprises a vehicle-mounted sensor module, a central processor, an in-vehicle output module and a wireless communication module; the central processor is connected with the vehicle-mounted sensor module, the in-vehicle output module and the wireless communication module respectively; the server is in signal connection with the wireless communication module and the terminal respectively. Through the ADAS intelligent terminal, a relatively large amount of internal and external data information related to driving is acquired, operation states as calculation factors in different driving environments of drivers can be classified and independently evaluated, and driving risk scoring can be reflected relatively well.

Description

technical field [0001] The invention relates to the fields of automotive electronic equipment and insurance applications, in particular to a method for judging driving risks based on different road conditions. Background technique [0002] In recent years, the ADAS market has grown rapidly. Various sensors installed on the vehicle are used to collect environmental data inside and outside the vehicle at the first time, and carry out technical processing such as identification, detection and tracking of static and dynamic objects. It can make the driver aware of possible dangers in the fastest time, so as to attract attention and improve safety. [0003] However, in the current various applications of ADAS, the main simple passive alarms are still the main ones, such as: speeding reminders, lane departure warnings, front and rear collision warnings, etc., which have not fully exerted their potential value, nor can they provide insurance for insurance companies. Provide basis ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C5/08
CPCG07C5/0808
Inventor 田雨农于丹吴振毅
Owner DALIAN ROILAND SCI & TECH CO LTD
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