Data processing method and device

Abstract

The embodiment of the application discloses a data processing method and device. The method comprises the following steps: acquiring historical warning information sent by an early warning server fora vehicle; predicting predicted warning information of the vehicle at the current time according to the historical warning information; collecting current road condition information of the vehicle, and generating target warning information of the vehicle at the current time according to the road condition information; acquiring the braking duration of the vehicle according to the operation parameters of the vehicle and the current road condition information, and obtaining a first collision probability corresponding to the prediction warning information and a second collision probability corresponding to the target warning information according to the braking duration; and generating comprehensive warning information of the vehicle according to the prediction warning information, the firstcollision probability, the target warning information and the second collision probability, and displaying the comprehensive warning information. According to the invention, the accuracy of the driving risk early warning information can be improved.

Description

technical field [0001] The present application relates to the technical field of the Internet, and in particular to a data processing method and device. Background technique [0002] In safety-assisted driving, on the one hand, the server sends driving risk warning information to the vehicle, such as the driving risk level of the road ahead (the safety-assisted driving system divides the driving risk into multiple levels, and the higher the level, the greater the driving risk , conversely, the smaller), on the other hand, the vehicle will also calculate the driving risk level of the current location based on the road condition information collected by the sensors on the vehicle. However, the real event that triggers the driving risk is random, and when the vehicle passes through a certain risky road section, it may not be able to receive the early warning information issued by the server at the current moment for the location, that is, the information received by the vehicle...

AI Technical Summary

Problems solved by technology

However, the real event that triggers the driving risk is random, and when the vehicle passes through a certain risky road section, it may not be able to receive the early warning information issued by the server at the current moment for the location, that is, the information received by the vehicle either lead or lag

At the same time, the computing resources of the vehicle itself are limited, and the calculated warning level information has a large error. Therefore, the driving risk information obtained by the vehicle is not accurate enough, which increases the risk of driving.

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