Driving behavior data collection method based on Internet

Abstract

The invention discloses a driving behavior data collection method based on the Internet, and the method comprises the following steps: 1), collecting the face change features of a driver through a vehicle-mounted camera disposed at the upper part of the front window of a vehicle; 2), detecting the physical signs of the driver through a biosensor; 3), detecting the driving behavior features of the driver through a vehicle-mounted sensor; 4), detecting the driving state change features of the vehicle through a vehicle driving state sensor; 5), enabling a collection system to gather the data collected by all sensors and transmit the data to a cloud side for storage through Internet communication equipment, wherein the vehicle can download the uploaded driving behavior data from the cloud side when there is a need; 6), building a relation model of driving behaviors and a fatigue state according to the collected driving behavior data, carrying out the multi-parameter comprehensive description of the fatigue state, and judging whether the driver is in the fatigue state or not. The method collects the driving behavior information in real time, and provides danger warning for the driver, so as to guarantee the safe driving.

Description

technical field [0001] The invention relates to the technical field of intelligent driving, in particular to a method for collecting driving behavior data based on the Internet. Background technique [0002] There are already many similar systems on the market, such as: FaceLAB, a driver visual tracking system developed by Seeing Machine Company in Australia, in which the Driver State Sensor judges whether the driver is fatigued by analyzing the driver's blinking pattern and PERCLOS; DDDS (The Drowsy Driver Detection System), a driver fatigue detection system developed by Johns Hopkins University in the United States, records the driver's actions and speed by sending and receiving wireless signals sent by Doppler radar, including nodding, eyelid blinking The driver's mental state can be judged by moving, even breathing, etc. The system is characterized by non-contact real-time acquisition of the driver's eyelid blinking, vehicle speed, heart rate, respiration, etc. during d...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the driving behavior detection and collection systems or methods are completed on a single vehicle, and the data is guaranteed to be stored in the vehicle's own memory after collection, and does not have real-time sharing and sharing functions.

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