Driving pressure real-time monitoring system and method

Abstract

The present invention provides a system and method for real-time monitoring of driving stress, including: constructing driving scenes and events; setting the first distance and the second distance between the location of the event and the position of the client in the driving scene, so that the event becomes a stressful event. Events and non-stressful events, combined with driving scenarios to generate stressful driving tasks and non-stressful driving tasks, collect client driving behavior data and facial expression data in stressful driving tasks and non-stressful driving tasks; build machine learning models; will have The facial expression data corresponding to the driving behavior data of the stress driving task exceeding the set threshold constitutes a stress data set, and the corresponding facial expression data in the stress-free driving task is used as the stress-free data set to train the machine learning model; The machine learning model after training is used to monitor the driving behavior of the client in real time. The above system and method monitor the stress level in real time during driving.

Description

technical field [0001] The present invention relates to the technical field of intelligent driving, and more specifically, to a system and method for real-time monitoring of driving pressure. Background technique [0002] Driving stress refers to a series of reactions that occur when a driver perceives or evaluates the ability required for his driving task beyond his own driving ability. Driving stress negatively affects driving behavior and self-awareness, which in turn affects driving performance. For example, driving stress can impair a driver's ability to control a motor vehicle, reduce alertness, lead to more dangerous and aggressive behavior, and even make poor decisions about safety-related events. In addition, driving stress can also affect the physical and mental health of drivers, leading to the risk of high blood pressure and affecting personal self-confidence. [0003] Existing methods for assessing driving stress fall into two categories: subjective and object...

AI Technical Summary

Problems solved by technology

The acquisition equipment used in the existing research is an infrared camera system or an RGB camera system, which needs to be connected to an external processing device, which makes the whole system very complicated, and the space in the vehicle environment is limited and installation is inconvenient.

[0007] In the existing research, the driving stress is induced by changing the driving scene. The urban road scene with heavy traffic flow is defined as "stress scene", and the suburban scene with small traffic flow is defined as "no stress scene". Such a definition cannot Associating driving stress with specific dangerous events does not help to judge the level of driver stress for a specific event

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