Multi-vehicle cooperative driving method and apparatus for driverless vehicles based on Internet-of-vehicles

Abstract

The invention discloses a multi-vehicle cooperative driving method and apparatus for driverless vehicles based on Internet-of-vehicles. The method includes obtaining the current driving data of a vehicle and road condition information on a real-time basis, receiving shared current driving data and road condition information sent by other driverless vehicles within a predetermined distance, planning the driving decision scheme of the vehicle through analysis according to the current driving data and road condition information of the vehicle and other driverless vehicles, and executing the driving instruction according to the driving decision scheme, wherein the driving decision scheme comprises driving priority and a driving path. The method allows each driverless vehicle to plan a driving decision scheme according to the current driving data and road condition information of the vehicle and other surrounding driverless vehicles on the real-time basis, and the public road utilization rate and driving safety level of each driverless vehicle are improved.

Description

technical field [0001] The present application relates to the field of unmanned vehicles, in particular to the field of unmanned driving based on the Internet of Vehicles, and in particular to a method and device for multi-vehicle coordinated driving of an unmanned vehicle based on the Internet of Vehicles. Background technique [0002] With the development of unmanned vehicles and road traffic, higher requirements are placed on the efficiency and safety of public roads. However, the unmanned vehicles on public roads now operate as an independent entity, and there is no interactive communication between vehicles. flashing lights) to judge the driving intention of other cars. [0003] However, the recognition of driving lights is mainly carried out through images, and the camera has a blind spot. At the same time, there is a certain delay in image recognition, which makes it impossible to accurately and timely understand the driving intentions and vehicle conditions of the s...

AI Technical Summary

Problems solved by technology

However, the unmanned vehicles on public roads now operate as an independent entity, and there is no interactive communication between the vehicles. flashing lights) to judge the driving intention of other cars

[0003] However, the recognition of running lights is mainly carried out through images, and the camera has a blind spot. At the same time, there is a certain delay in image recognition, which makes it impossible to accurately and timely understand the driving intentions and vehicle conditions of surrounding unmanned vehicles, so that it cannot be accurate and timely. The response of public roads is not high and the safety level of unmanned vehicles is also relatively low

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