Non-motor vehicle street-crossing road right negotiation system under automatic driving background

Abstract

The invention discloses a non-motor vehicle street-crossing road right negotiation system under an automatic driving background, which comprises an environment sensing module, a decision module, an output module and a feedback module, and is characterized in that the environment sensing module comprises an automatic driving vehicle-mounted monitoring module, a non-motor vehicle-mounted monitoring module and a roadside monitoring module; the output module comprises an automatic driving vehicle output module and a non-motor vehicle output module, and when an automatic driving vehicle and a non-motor vehicle meet at a street corner, the automatic driving vehicle-mounted monitoring module obtains the speed, acceleration and driving direction information of the automatic driving vehicle and outputs the information to the decision module; the non-motor vehicle-mounted monitoring module obtains the speed, acceleration and driving direction information of a non-motor vehicle and outputs the information to the decision module, the decision module processes the received information and generates and outputs a corresponding decision signal, and the automatic driving vehicle output module executes the decision signal from the decision module; the method has the advantages that the non-motor vehicle crossing safety and the automatic driving vehicle passing efficiency can be considered.

Description

technical field [0001] The invention relates to a negotiating system for the right of way for non-motor vehicles to cross the street, in particular to a system for negotiating the right of way for non-motor vehicles to cross the street under the background of automatic driving. Background technique [0002] According to statistics, the number of motor vehicles in my country exceeds 360 million, and the number of non-motor vehicles exceeds 400 million. The mixed traffic of motor vehicles and non-motor vehicles is an important feature of urban traffic in my country. In 2019, the number of non-motor vehicle casualties in my country reached 13,000, of which the casualties that occurred during non-motor vehicle crossing the street accounted for a large part. [0003] At present, when crossing the street without signal lights, non-motor vehicle drivers express their intention to give way to the driver through eye contact or hand gestures to improve the safety of crossing the stree...

AI Technical Summary

Problems solved by technology

The premise and basis for the effective intention prediction of non-motor vehicles by self-driving vehicles is accurate environmental perception. Compared with motor vehicles, non-motor vehicles are small in size and large in number, which are easy to block each other. The environment perception sensors carried by self-driving vehicles cannot be very Accurately obtain the information of non-motor vehicles; in addition, self-driving vehicles cannot accurately identify the intentions of non-motor vehicle drivers, and it is also difficult for non-motor vehicle drivers to grasp the driving intentions of self-driving vehicles, that is, the two parties cannot confirm through effective information exchange right of way

As a result, self-driving vehicles are programmed to give way unconditionally when non-motorized vehicles cross the street by default to ensure the safety of non-motorized vehicles crossing the street, which will lead to the emergence of a large number of self-driving vehicles queuing up, and the traffic efficiency of self-driving vehicles will be significantly reduced

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