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Personalized takeover early warning method and system based on dynamic time budget

A dynamic time, automatic system technology, applied in computing, structured data retrieval, resources, etc., can solve problems such as lack of time budget setting, unified standard and single design mode, and automatic system trust crisis.

Pending Publication Date: 2020-11-10
NORTH CHINA UNIVERSITY OF TECHNOLOGY +1
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AI Technical Summary

Problems solved by technology

The time budget setting of this type of takeover early warning system does not have a unified standard and the design model is single; if the early warning adopts a long time budget, it will send out premature reminders before the automatic system fails, causing sensitive drivers to react violently inappropriately. At the same time, the long-term normal operation of the system after the alarm may be considered by the driver as a false report of the system, resulting in a crisis of confidence in the automatic system; Drivers in poor and understanding condition exhibit lagged driving responses, increasing the risk of collisions and accidents

Method used

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  • Personalized takeover early warning method and system based on dynamic time budget
  • Personalized takeover early warning method and system based on dynamic time budget
  • Personalized takeover early warning method and system based on dynamic time budget

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Embodiment 1

[0054] refer to figure 1 As shown, this embodiment provides a personalized takeover early warning method based on a dynamic time budget, including but not limited to the following steps:

[0055] S1. Acquire the individual characteristic data of the driver during the automatic driving of the vehicle, preprocess the individual characteristic data, construct the characteristic attribute decision information system corresponding to the driver according to the preprocessed individual characteristic data, and use the rough set difference matrix attribute reduction The method is used to reduce the feature attribute decision information system to form the driver's real-time feature attribute set. Specifically include:

[0056] S11. Acquire the individual characteristic data of the driver during the automatic driving of the vehicle.

[0057] The monitoring of the driver's status is mainly through the wearable photoelectric pulse signal detection sensor and the non-contact close-rang...

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Abstract

The invention relates to a personalized takeover early warning method and system based on dynamic time budget, and the method comprises the steps: enabling the individual feature data of a driver to be fused into the early warning of takeover control, and synthesizing the real-time comprehensive environment state of a vehicle and the real-time takeover reliability of the driver; according to the association relationship between the driver state recovery time and the takeover reliability, the driver perception environment complexity time and the vehicle real-time comprehensive environment state, the operation time of the driver responding to the vehicle driving takeover request and the driver characteristic attribute, the takeover time budget and instability boundary related information, and the driver state recovery time, the vehicle driving takeover request is obtained; and sensing a preset relationship between the environment complexity time and the operation time of the driver by the driver in response to the vehicle driving takeover request, and generating a dynamic takeover time budget and an early warning prompt, so that the early warning prompt meets the personalized takeover early warning requirement of the current driver state, and an effective early warning prompt is sent out. A more suitable take-over time condition is created, and a better early warning effect is obtained.

Description

technical field [0001] The invention relates to the technical field of automatic driving, in particular to a personalized takeover early warning method and system based on a dynamic time budget. Background technique [0002] At a time when autonomous driving technology is advancing with each passing day, intelligent driving has become indispensable. Level 3 conditional automation systems allow drivers to stay out of the control loop for extended periods of time, which causes drivers to ignore inspections of automation performance and impairs their ability to respond to critical situations such as automation failures. Takeover is initiated when automation exceeds its limits, at which point the driver needs time to acquire situational awareness, recognize the current driving environment, and prepare physically and cognitively for this sudden demand to take over control. The time budget is the time available between the takeover request and the system limit for the driver to r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F16/21G06F16/2457
CPCG06Q10/06393G06F16/219G06F16/2457Y02T10/40
Inventor 郭伟伟郭子慧谭墍元李颖宏李倩邹迎王亚兵
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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