A car network image data fusion method and related device

Abstract

The present application discloses a method for merging image data of the Internet of Vehicles, including: the edge server judges whether the acquisition fields of view of the Internet of Vehicles terminals overlap according to the image acquisition parameters sent by the terminals; if so, sends a successful matching message so that the corresponding Internet of Vehicles terminal The successful matching message sends the original image data to the edge server; the edge server performs fusion processing on the original image data to obtain a target fusion image. In the process of image fusion of the Internet of Vehicles, first judge whether there is overlap, and then transmit the image data on the basis of the overlap, and perform image fusion processing, which reduces the amount of data transmission and the delay of data processing, and improves the image fusion processing. s efficiency. The application also discloses an image data fusion device for the Internet of Vehicles, a server, and a computer-readable storage medium, which have the above beneficial effects.

Description

technical field [0001] The present application relates to the technical field of the Internet of Vehicles, and in particular to a method for fusing image data of the Internet of Vehicles, an image data fusion device for the Internet of Vehicles, a server, and a computer-readable storage medium. Background technique [0002] In the field of Internet of Vehicles technology, edge servers are usually used to process the data uploaded by Internet of Vehicles terminals to realize the target detection function of the Internet of Vehicles system, such as identifying real-time vehicle traffic, counting people, and identifying parking spaces. [0003] At present, the commonly used technical solution is the serial edge intelligent collaborative inference solution. The core idea of ​​this solution is to divide a neural network into two parts, and use the terminal and the edge server to perform joint inference. The terminal first transmits the picture data to the edge server. After recei...

AI Technical Summary

Problems solved by technology

For example, in the process of image data fusion of the Internet of Vehicles, the accuracy of data processing will be reduced, and a good processing effect cannot be maintained.

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