Automatic driving manual takeover request opportunity adjusting method and system

A technology of automatic driving and adjustment method, applied in the field of automatic driving technology and human factors engineering, can solve the problems of inability to accurately evaluate the takeover time, decrease in accuracy, unsatisfactory driver user experience and takeover quality, etc., so as to improve the user experience. and takeover quality, reduced interference, high takeover quality effect

Pending Publication Date: 2021-10-01
TOYOTA JIDOSHA KK +1
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  • Summary
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AI Technical Summary

Benefits of technology

The technology described by this patented describes an improved way for drivers to receive instructions about how long they are going through their pipes during operation. This helps them make informed decisions that affect what goes ahead or behind it. By setting certain times within these windows, users will have better control over who gets there first - making sure everything runs smoothly without any issues like getting stuck due to poor air conditioners or other factors such as rainwater hitting the road surface. Additionally, if someone wants to change lanements quickly after being hit by water accidentally, the timer automatically starts up gradually increasing its size until reaching full speed again afterwards. Overall, this improves overall performance and usability for operators while ensuring consistently good results.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the timely execution or safe operation for autonomous vehicles during emergencies like highway construction zones where drivers are forced to switch from their carrier mode to another drive without taking off responsibilities. Current systems require waiting until after all other things happen before switching back again leading to delays caused by delayed responses. Additionally, there currently exist methods for monitoring the driving situation outside specific situations while still giving priority access to crucial functions within the self-driving system itself.

Method used

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  • Automatic driving manual takeover request opportunity adjusting method and system
  • Automatic driving manual takeover request opportunity adjusting method and system
  • Automatic driving manual takeover request opportunity adjusting method and system

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Embodiment Construction

[0041] The first embodiment of the present invention is an automatic driving manual takeover request timing adjustment method, and its overall process is as followsfigure 1 shown. The method includes the following steps.

[0042] Step S1: Steps to build a driver big data cloud database

[0043] Through the driving simulator experiment and the real vehicle experiment based on the takeover scenario, the driver's big data cloud database is constructed. The parameters stored in the database include P 0 , α, β, T 0 , R 0 , each parameter satisfies the formula: P 0 =αT 0 +βR 0 .

[0044] where P 0 is the target takeover quality based on the experimental big data. In order to ensure the takeover quality of the driver’s safe takeover, based on the experimental data and different takeover scenarios, it can take 6 seconds to 12 seconds; The effect coefficient of the driver's takeover quality, β is the effect coefficient of the driver's takeover readiness obtained through the drivin

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PUM

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Abstract

The invention relates to an automatic driving manual takeover request opportunity adjusting method and system, which can realize high user experience and takeover quality. According to the automatic driving manual takeover request opportunity adjusting method, a takeover request is sent to a driver before a driving state reaches an automatic driving system performance boundary for converting an automatic driving mode into a manual driving mode, and the method comprises the following steps: constructing an individual driver database; recording one time of takeover of the driver as a takeover event, and storing a data set corresponding to each takeover event in an individual driver database of the driver; takeover request prompting: calculating the takeover preparation degree R of the driver for the driving control right, and setting the advance time T for sending the takeover request to the driver; takeover quality evaluation: calculating the takeover quality P of the takeover event according to the actual operation data of the driver; individual driver database updating: updating the action coefficients alpha' and beta ' in the individual driver database.

Description

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Claims

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Application Information

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Owner TOYOTA JIDOSHA KK
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