City environment automatic driving method based on fog node

Abstract

The invention discloses a city environment automatic driving method based on fog nodes, and relates to the big data processing technical field; the method comprises the following steps: sharing high precision maps and automatic driving models on the cloud end to fog computing nodes; effectively using fog computing node capacity to gather real time environment information of fog computing node coverage area vehicles; combining the gathered data with the cloud end high precision map so as to form a more accurate fine model in the coverage area; sending the model to the coverage area vehicles inreal time, thus realizing automatic driving of the vehicles under the city complex environment, and improving the vehicle real time control processing execution efficiency. In addition, the fog computing nodes can regularly upload high precision maps and vehicle behavior information in the coverage area to the cloud end, thus helping the cloud end to better understand the environment information in the local region, and improving the automatic driving model accuracy.

Description

technical field [0001] The invention discloses an urban environment automatic driving method based on fog nodes, and relates to the technical field of big data processing. Background technique [0002] With the development of the Internet of Things and cloud computing, the cloud center aggregates a large number of physical hardware resources, and uses virtualization technology to realize the unified allocation, scheduling and management of heterogeneous network computing resources. The centralized construction of the cloud center can greatly reduce computing and storage. the cost of. However, as the amount of data becomes larger and larger, the rate of data transmission decreases, and sometimes there is even a large network delay. The emergence of fog computing has greatly improved this situation, especially for edge side such as real-time services, data Optimization, bandwidth limitation, application intelligence, security and privacy, etc. have accelerated the development...

AI Technical Summary

Problems solved by technology

However, in the complex urban environment, the automatic driving control based on a single independent vehicle is still not well realized. The present invention provides a fog node-based urban environment automatic driving method, which shares the high-precision map and automatic driving model in the cloud to the fog Computing nodes, effectively utilizing the capabilities of fog computing nodes, collect real-time environmental information of vehicles in areas covered by fog computing nodes, and combine the collected data with cloud high-precision maps to generate more detailed and accurate models in the coverage area and send them to the coverage area in real time Vehicles, realize the automatic driving of vehicles in complex urban environments, and improve the efficiency of real-time control and processing of vehicles

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