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A driving data risk quantification method

A driving data and driving data technology, applied in the field of data processing, can solve problems such as errors, slow processing, time-consuming quantitative analysis, etc., to achieve the effect of improving safety factor, avoiding interference and damage, and avoiding data congestion

Inactive Publication Date: 2018-11-06
深圳市拓保软件有限公司
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method for quantifying the risk of driving data in view of the disadvantages of slow processing, time-consuming quantitative analysis, and possible errors when processing driving data in the prior art

Method used

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  • A driving data risk quantification method

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Embodiment Construction

[0023] The content of the present invention will be further described below in conjunction with the accompanying drawings.

[0024] Such as figure 1 As shown, the method for quantifying driving data risk according to the present invention is characterized in that it includes the following steps:

[0025] Step 1: Collect aerospace data during driving and record it as block A using blockchain technology;

[0026] In the present invention, the aerospace data includes ambient temperature, atmospheric pressure, weather conditions, ambient brightness, wind speed, humidity, and air quality.

[0027] The air and sky data may be obtained by corresponding sensors and / or weather software servers, specifically, for example, the temperature sensor obtains the ambient temperature, and the atmospheric pressure sensor obtains the atmospheric pressure; the weather software connected to the Internet server obtains the weather conditions and confirms that it is sunny. , Rainy, cloudy, snowy, foggy or c...

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Abstract

The invention relates to the technical field of data processing, particularly relates to data processing of an automobile driving assistance system, and particularly provides a driving data risk quantification method. The method includes collecting air-weather data in a driving process, collecting ground data in the driving process, collecting automobile condition data of the automobile itself, collecting driving data in the driving process, building a driving model by utilizing the air-weather data, the ground data and the automobile condition data of the automobile itself, and performing risk quantification with the driving data in the driving model. The method can acquire data according to needs, thus avoiding data congestion, achieving efficient collection and data processing without data errors, ensuring accuracy of quantification analysis, and reducing unwanted road risks. In addition, safety of the driving data is ensured, interference and damage of lawbreakers such as crackerson automatic drive in pilotless automobiles can be avoided, and the safety coefficient in an unmanned driving state is increased.

Description

Technical field [0001] The invention relates to the technical field of data processing, in particular to the data processing of an automobile driving assistance system, and specifically provides a method for quantifying driving data risk. Background technique [0002] Since the 1970s, scientists from various countries have begun to conduct research on unmanned vehicles. In recent years, although the true sense of unmanned vehicles has not yet been marketed, driving assistance systems generated by related technologies have been increasingly used in automobiles. For example, ADAS (Advanced Driver Assistant Systems, Advanced Driver Assistant Systems) uses various sensors installed in the car to sense the surrounding environment and collect data at any time during the driving process of the car to perform static and dynamic objects. The identification, detection and tracking of the car, combined with the map data of the navigator, carries out the calculation and analysis of the syste...

Claims

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Application Information

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IPC IPC(8): G07C5/08G06Q10/06B60W40/06B60W50/00
CPCB60W40/06B60W50/00B60W2050/0031G06Q10/0635G07C5/0808
Inventor 刘宝胡泽平吴磊夏宇孙勇
Owner 深圳市拓保软件有限公司
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