Automatic driving manual takeover multi-mode stimulation adjusting method and system

Abstract

The invention provides an automatic driving manual takeover multi-mode stimulation adjusting method and system, and the method comprises the steps: determining the takeover time of sound prompt, the takeover time of vibration prompt and the takeover time of visual prompt when a driver carries out the automatic driving takeover every time a takeover event is triggered; a sound action coefficient, a vibration action coefficient and a visual action coefficient related to the takeover quality are added, and each stimulus and the corresponding takeover time thereof are pre-stored in a cloud database, so that the determination of a stimulation mode is facilitated. An individual driver database is constructed to store historical driving data of an individual driver, namely, the actual takeover quality and the expected takeover quality of each takeover event and the action coefficient of the multi-modal stimulation received by the driver are updated. According to the invention, scene presentation and information provision are carried out by using the simulated driving scene and the multi-modal stimulation, so that better user experience and takeover quality can be realized.

Description

technical field [0001] The invention provides an automatic driving manual takeover multi-modal stimulation adjustment method and system, and relates to the field of automatic driving technology and human factors engineering. Background technique [0002] According to the classification of vehicle automation level standards by the Society of Automotive Engineers (SAE), the autonomous driving of automobiles is divided into six levels, ranging from L0 to L5. Autopilot takeover behavior mainly occurs in L2-L3 autonomous vehicles. When the autopilot system cannot handle certain situations, the driver must take over control of the vehicle within a safe time. [0003] The whole takeover process can be divided into three stages: consciousness awakening, takeover decision and behavioral decision. Different ways of providing takeover information, that is, the combination of multimodal stimuli, such as visual, auditory, steering wheel vibration and other prompting methods, have a grea...

AI Technical Summary

Problems solved by technology

[0005] In the patent document CN113460074A, take over the mass P 0 Parameters such as the action coefficient, the lead time of the takeover request, and the degree of readiness for takeover have been stored in the big data cloud database in advance. There is no mention of the impact of multimodal stimuli on driver behavior, and the patent is aimed at the takeover of autonomous driving. Request timing regulation, non-regulatory targets differ for stimuli of different modality types

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