Unlock instant, AI-driven research and patent intelligence for your innovation.

A vehicle-road-cloud collaboration method, device and system for intelligent networked vehicles

An intelligent network and automobile technology, applied in the field of Internet of Vehicles, can solve the problems of uncoordinated functions, singleness, and inability to share resources, and achieve the effect of expanding the scope of vision, facilitating information security, and facilitating driving safety.

Active Publication Date: 2021-06-11
CHINA INTELLIGENT & CONNECTED VEHICLES (BEIJING) RES INST CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the embodiments of the present invention provide a vehicle-road-cloud collaboration method, device, and system for intelligent networked vehicles to solve the problems existing in existing intelligent networked transportation in terms of vehicle-end, cloud, and intermediate collaborative management and control. Coordination or single function, resources cannot be shared, and safety problems caused by insufficient functions of self-driving vehicles

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A vehicle-road-cloud collaboration method, device and system for intelligent networked vehicles
  • A vehicle-road-cloud collaboration method, device and system for intelligent networked vehicles
  • A vehicle-road-cloud collaboration method, device and system for intelligent networked vehicles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0030] An embodiment of the present invention provides a vehicle-road-cloud collaboration method for intelligent networked vehicles, such as figure 1 As shown, the method includes the following steps:

[0031] Step S101: Obtain cloud information, and convert the cloud information into real-time environment information, forecast environment information, d...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a vehicle-road-cloud collaboration method, device and system for an intelligent networked vehicle. The method includes: acquiring cloud information, converting the cloud information into real-time environment information, predicting environment information, decision-making information and Control information; calculate the perception result based on the fusion of vehicle perception information and real-time environmental information; calculate the prediction information of the vehicle according to the perception result; obtain the prediction result according to the fusion calculation of the prediction information of the vehicle and the prediction environment information; The vehicle’s decision-making behavior information is obtained by information calculation; the decision-making result is obtained according to the fusion calculation of the vehicle’s decision-making behavior information and decision-making information; Calculate the control results. By implementing the present invention, the cloud information and the vehicle end information are fused, thereby achieving the safety and high efficiency of vehicle control.

Description

technical field [0001] The present invention relates to the technical field of Internet of Vehicles, in particular to a vehicle-road-cloud collaboration method, device and system for intelligent networked vehicles. Background technique [0002] Autonomous driving is the only way in the context of economic development, technological progress, and human needs. Self-driving cars have experienced years of development, and the technical route of the core key technologies has gradually become clear. [0003] At present, the completion of the automatic driving function of the car includes three core functions of environmental perception, autonomous decision-making, and motion control. Among them, the perception function uses on-board sensors to realize the perception of the driving environment and the positioning of the vehicle. The decision-making function realizes goals such as target obstacle decision-making and driving behavior decision-making based on environmental informati...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/0967G08G1/16H04L29/06H04L29/08H04W4/40G06Q10/04G08G1/01
CPCG06Q10/04G08G1/0104G08G1/096725G08G1/16H04L67/12H04L69/08H04W4/40
Inventor 薛慧娟褚文博杨帆林志杰方达龙孟宪刚张百杰
Owner CHINA INTELLIGENT & CONNECTED VEHICLES (BEIJING) RES INST CO LTD