Vehicle driving state intelligent identification system and method based on mobile phone

Abstract

The invention discloses a vehicle driving state intelligent identification method based on a mobile phone, and the method comprises the following steps: S1, obtaining acceleration data through an acceleration sensor, and obtaining angular speed data through a gyroscope; S2, analyzing and processing the data acquired by the acceleration sensor and the gyroscope by a digital filtering module, filtering interference data according to a preset filtering algorithm, and then outputting sensor characteristic data; S3, comparing and analyzing the sensor characteristic data output by the digital filtering module and the driving characteristic data in the driving state characteristic template by the intelligent identification module; S4, the intelligent identification module obtains the current driving state of the vehicle according to the driving characteristic data matched with the sensor characteristic data. According to the invention, intelligent identification is carried out through mobilephone sensor data of a user, so that the vehicle driving state can be fed back rapidly and efficiently under the condition that privacy is not involved.

Description

technical field [0001] The invention relates to a vehicle driving state recognition system, in particular to a mobile phone-based vehicle driving state intelligent recognition system and method. Background technique [0002] In recent years, with the steady development of the economy and the improvement of people's living standards, my country's car sales have maintained a steady growth rate every year, and the number of car ownership has continued to rise. In 2017, my country's auto sales reached 28.88 million, a year-on-year increase of 3%. Among them, the sales volume of passenger vehicles was 24.72 million, a year-on-year increase of 1.4%. At the same time, the number of cars is also increasing. As of the first half of 2018, the number of cars in the country reached 229 million. It is expected that as the base of car sales continues to rise, my country's new passenger car market will grow by about 3% from 2018 to 2020, which is generally at a low growth rate, but the g...

AI Technical Summary

Problems solved by technology

However, this mobile phone-based intelligent recognition application of vehicle driving status obtains the user's position, speed value and acceleration value through the GPS module, and then performs intelligent recognition through the algorithm. Although the input cost is reduced to a certain extent and the popularization speed is accelerated, However, due to the single type of data, the timeliness is often too poor, and there will be a phenomenon of high false negative rate and false negative rate

Therefore, the practicability of this kind of application is not high, especially in some occasions where the road conditions are complicated and the signal is not good, the GPS positioning accuracy is not enough, and it will not be able to meet the user's requirements

In addition, since the GPS module involves the user's location information, it cannot always meet the user's controllable requirements for privacy, so it cannot meet the needs of users and the market

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