Voice-assisted rear-end collision prevention system for drivers based on automobile data recorder

Abstract

The invention relates to a voice-assisted rear-end collision prevention system for drivers based on an automobile data recorder. A corresponding road surface friction coefficient [mu] by recognizing road types through a trained deep learning network is obtained, then the running speed V of the vehicle is obtained through various modes, the obtaining modes mainly comprise obtaining the running speed from a vehicle CAN bus, obtaining the running speed through a development board GPS function, obtaining the running speed through a Bluetooth connection mobile phone map and the like, a theoretical braking distance X according to the running speed V, a road surface adhesion coefficient [mu] and the reaction time of a driver and a brake is calculated, a current following distance S obtained by a binocular camera of the improved running recorder is compared with the theoretical braking distance X, the theoretical braking distance X and the current following distance S in a display of the automobile data recorder are respectively displayed, and when the current following distance S is smaller than the theoretical braking distance X, the loudspeaker of the automobile data recorder gives out the unsafe voice prompt for the driver.

Description

technical field [0001] The invention relates to the field of automobile safe driving, more specifically, to a voice-assisted driver anti-rear collision system based on a driving recorder. Background technique [0002] At present, cars have become an indispensable means of transportation for every family to travel. Keeping a safe following distance can effectively reduce many unnecessary traffic accidents. Novice drivers and driving in rainy and snowy weather are prone to rear-end traffic accidents. The main reason is Can not accurately judge the safe following distance of different road conditions. Although there are a few cars on the market equipped with adaptive cruise control (ACC), the following distance of the ACC system still does not take into account the road conditions. For example, a long safe following distance is required in rainy and snowy weather. A short following distance is required, and the ACC system shows extremely poor adaptability. Therefore, it is of...

AI Technical Summary

Problems solved by technology

[0002] At present, cars have become an indispensable means of transportation for every family to travel. Keeping a safe following distance can effectively reduce many unnecessary traffic accidents. Novice drivers and driving in rainy and snowy weather are prone to rear-end traffic accidents. The main reason is Unable to accurately judge the safe following distance for different road conditions

Although there are a few cars on the market equipped with adaptive cruise control (ACC), the following distance of the ACC system still does not take into account the road conditions. For example, a long safe following distance is required in rainy and snowy weather. A short following distance is required, and the ACC system shows extremely poor adaptability

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