Fatigue driving misconduct monitoring method and active safety driving monitoring system

Abstract

The invention relates to an active or auxiliary protection method and system for safe driving of a vehicle. A monitoring method for driver fatigue driving and improper driving behavior based on eye-tracking technology, which adopts the fusion scheme of stable line-of-sight algorithm and precise line-of-sight tracking algorithm: collect face data, locate face information in the image; continuously monitor the driver's head posture Detection, database face data comparison, confirm the real face; use the stable line of sight algorithm to locate the feature points in the image, adaptively build a 3D head model, and determine the driver's behavior, head orientation, line of sight orientation, and eye status; accurate The eye-tracking algorithm uses the corneal reflection method combining bright and dark pupils to obtain the driver's precise line of sight; determines the driver's distraction level according to the head posture and line of sight direction, and further determines the allowable time for the driver to let go. An active safety driving monitoring system, including a driver's face detection module, a front-view monocular camera, a DMS control module, a human-computer interaction system, and a T‑box vehicle network communication terminal.

Description

technical field [0001] The invention relates to active protection or auxiliary measures for safe driving of vehicles, in particular to a strategy for early warning, monitoring and alarming of driver fatigue and driving misbehavior, and a high-level driving assistance function release time strategy. Background technique [0002] With the continuous increase of car ownership and the development of the road transportation industry, the frequency of traffic accidents has also continued to increase. According to the statistics of the Ministry of Communications, there were 165,000 road traffic accidents nationwide in 2016, resulting in 51,800 deaths. , 599,000 people were injured, and the main cause of traffic accidents was illegal driving and fatigued driving. For freight drivers, bus drivers and online car-hailing drivers who drive long distances, they often encounter behaviors such as smoking, answering phone calls, sending and receiving text messages, and operating the central...

AI Technical Summary

Problems solved by technology

For example, Chinese patent CN 110275608A introduces to obtain the human eye feature at the reference position corresponding to the target human eye feature according to the functional relationship, and obtain the unknown line of sight position according to the human eye feature at the reference position corresponding to the target human eye feature, only to locate the line of sight position, Inaccurate; Chinese patent CN 111401130 A proposes a driver distraction detection method based on continuous head posture estimation, judging the state of distraction according to the head posture, and cannot distinguish the degree of distraction; Chinese patent CN109050397.A only introduces a A warning device for the driver to leave the steering wheel, which detects the time when the driver leaves the steering wheel and compares it with the time threshold to determine whether to let go; This method requires the vehicle to be in adaptive cruise mode and rely on ADAS maps to obtain road information, which is costly and limited to use scenarios

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