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Multi-channel evaluation method for driver distraction under L3 autonomous driving conditions and system

A technology of automatic driving and driver, applied in the field of traffic safety

Pending Publication Date: 2021-05-18
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the traffic safety problem caused by driver distraction in driving takeover under automatic driving conditions, and further provides a multi-channel evaluation method and system for driver distraction under L3 automatic driving conditions

Method used

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  • Multi-channel evaluation method for driver distraction under L3 autonomous driving conditions and system
  • Multi-channel evaluation method for driver distraction under L3 autonomous driving conditions and system
  • Multi-channel evaluation method for driver distraction under L3 autonomous driving conditions and system

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Embodiment

[0108]This embodiment uses the driving simulator and related software to design analog scenarios, simulates experimental operations, and collects driver behavior data using EEG and eye instrument.

[0109]Software Love Scene Design Modules are used to establish driving simulation scenarios such as vehicles, pedestrians, roads, roadside buildings.

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Abstract

The invention relates to a multi-channel evaluation method for driver distraction under L3 autonomous driving conditions. The evaluation method includes the following steps: step one, monitoring and collecting the information data of each indicator of a driver in real time; step two, respectively calculating the electroencephalogram signal sample entropy and attention buffer time of the driver according to the collected data; and step three, inputting the electroencephalogram signal sample entropy to an AdaBoost classifier, and outputting an electroencephalogram distraction discrimination result; comparing the attention buffer time with the threshold values of each level, and outputting influence level of visual distraction; and synthetically discriminating the distraction level of the driver according to a fuzzy logic method. Under L3 autonomous driving conditions, the method judges the distraction status of the driver by adopting electroencephalogram and visual characteristics, so that traffic accidents, as the drivers do not switch control in time due to distraction, can be reduced.

Description

Technical field[0001]The present invention belongs to the area of ​​traffic safety, and specifically, a method and system for driver distraction multi-channel evaluation method and system under L3-level automatic driving conditions.Background technique[0002]In recent years, automatic driving has become a new direction of automotive technology development. According to the National Highway Traffic Safety Agency (NHTSA) standard, the automatic driving is divided into 5 levels. The higher the automatic driving level, the less the driving of the driver in environmental monitoring and system operation, the operation of other non-driving tasks increases. Under the automatic driving conditions of the L3, the travel information system, vehicle control system, fatigue driving monitor, etc. The smart transport system terminals began to be widely used in automobiles, which also become the driving load of the driver while reducing the driving load. Drivers don't have to monitor cars for a long ...

Claims

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Application Information

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IPC IPC(8): A61B5/18A61B5/369A61B5/372
CPCA61B5/18A61B5/168A61B5/7267
Inventor 马艳丽朱洁玉张亚平
Owner HARBIN INST OF TECH
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