Automatic driving method, ADS and automatic driving vehicle

Abstract

The embodiment of the invention discloses an automatic driving method, an ADS and an automatic driving vehicle, which can be applied to the field of automatic driving and can be applied to intelligent vehicles, automatic driving vehicles, connected vehicles and the like, and comprises the following steps: adding a health physiological data range in a design operation range ODD as a group of application ranges of the ODD, an automatic driving system ADS receives real-time physiological data, collected by monitoring equipment, of a driver and passengers, when the data deviates from the range and lasts for a certain duration, the ADS judges that the health of the driver and passengers is abnormal, a first driving strategy is executed according to the deviation degree and the duration, sudden health accidents of the driver and passengers are dealt with in time, and the traffic accident rate is reduced; when the real-time physiological data is not recovered to the healthy physiological data range within the preset duration, the ADS sends out an authorization request, a second driving strategy is executed under the authorization of a driver and passengers, the second driving strategy considers that the vehicle is stopped and also comprises but is not limited to measures such as help calling and medical resource reservation, and early detection and timely response are achieved.

Description

technical field [0001] The present application relates to the field of automatic driving, in particular to an automatic driving method, ADS and an automatic driving vehicle. Background technique [0002] Since the invention of the automobile, after more than one hundred years of development, it has become an indispensable part of people's lives. With the improvement of living standards, people have higher and higher requirements for travel comfort and convenience. Evolving in the direction of intelligence, autonomous driving technology emerges as the times require. [0003] However, in recent years, accidents of self-driving cars have occurred frequently, such as: on May 7, 2016, a Tesla car with "automatic driving assistance" crashed into a container truck, and the driver died; on March 18, 2018 A woman in Arizona has died after being hit by an Uber self-driving car. This raises concerns about the safety of autonomous driving and forces people to re-examine and think abou...

AI Technical Summary

Problems solved by technology

[0004] At present, the industry widely adopts the automatic driving classification standard J3016TM of the International Society of Automotive Engineers (SAE), which is also called "Classification and Definition of Standard Road Motor Vehicle Driving Automation System". driving task, DDT) defines the automatic driving level (that is, there are 6 automatic driving levels from L0 to L5), but it lacks the consideration of driving safety

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