Safe driving auxiliary system and safe driving auxiliary method for driver

Abstract

A safety driving auxiliary system which is used for timely reminding and pre-warning when a driver has unsafe driving behaviors by utilizing technologies of a high-definition video acquisition technology, an intelligent behavior identification technology, a wireless transmission technology, a computer network and the like comprises a video acquisition and compression module, a front-end central control module, a wireless re-transmission module and a central background management system, wherein the video acquisition and compression module is used for acquiring and compressing a driving condition of the driver, and sending the compressed code stream to the front-end central control module; the central control module is used for picking out characteristic videos, analyzing and detecting the driving behaviors in the characteristic videos in real time, emitting voice promotion once unsafe driving behaviors are found, cutting out irregular pictures and correspondingly re-transmitting the irregular pictures (including time stamps) to the central background management system through the wireless re-transmission module.

Description

technical field [0001] The present invention relates to a driver safety driving assistance system, in particular to a driver safety driving assistance system based on driving behavior pattern recognition. Background technique [0002] With the continuous construction and development of expressways in our country, the safe driving of drivers is very important. Statistics show that inattentive driving is one of the important factors leading to car accidents. Every year, about 300,000 people around the world are killed due to inattentive driving (leaving the steering wheel with one or both hands, smoking, talking on mobile phones, eating, etc.). On July 12, 2014, Wang was driving a long-distance passenger bus, smoking while talking on his mobile phone, and controlling the steering wheel with one hand, causing the vehicle to lose control and collide with the guardrail on the left side of the ramp before flipping out of the road. On June 27, 2014, the driver of the bus ate melon...

AI Technical Summary

Problems solved by technology

On June 27, 2014, the driver of the bus ate melon seeds while driving, and left the steering wheel with one hand, causing a rear-end collision

[0004] (1) Simple records, unable to return, unable to automatically identify non-safe behaviors, unable to prevent, can only be held accountable afterwards to collect evidence

Many existing buses are equipped with driving recorders, which can record the behavior of the driver and passengers in the car, and also record the situation outside the car at the same time. It is the company conducting investigation and evidence collection after the event, but it cannot achieve "prevention first, nip in the bud"

[0005] (2) Some real-time interactive platforms (such as Toyota's G-book system) need to be equipped with professional back-end service personnel, high operating costs, low intelligence, and easy to distract drivers' attention

In addition, all its appeals are initiated by the driver and cannot play the role of assisting the driver. The role of safety assistance is somewhat upside down

[0006] (3) Some methods using multi-sensing equipment need to modify the car itself, which has high upfront costs and affects driving habits

[0011] However, in this proposal, it uses professional vector feature extraction to classify the driving posture, which is greatly affected by the stability of the calculation, and it needs to partition the skin area, which requires a large amount of calculation and complicated front-end processing, so it is not suitable. Promote applicable

[0012] In order to solve the above technical problems, the team of the present invention has developed a set of mature safety driving assistance system and method after assiduous research. An advanced "non-safe driving behavior pattern recognition module" is added to the server side (unifying the driving behavior pattern recognition to the detection of the steering wheel state, such as holding the steering wheel with one hand or holding the steering wheel with no hands for more than 30 seconds during driving can be attributed to Unsafe driving behavior), build an automatic identification and alarm system, prevent accidents, and completely change the existing embarrassment of "after the event, it is difficult to prevent"

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