Internet of Vehicles image data fusion method and related device

Abstract

The invention discloses an Internet of Vehicles image data fusion method. The method comprises the steps that an edge server judges whether the collection view fields of an Internet of Vehicles terminal are overlapped or not according to image collection parameters sent by the terminal; if yes, a successful matching message is sent, so that the corresponding Internet of Vehicles terminal sends original image data to the edge server according to the successful matching message; and the edge server performs fusion processing on the original image data to obtain a target fusion image. In the Internet of Vehicles image fusion process, whether overlapping occurs or not is judged firstly. After that, image data are transmitted on the basis of overlapping. The image fusion processing is conducted. The data transmission amount is reduced. The data processing time delay is also reduced, and the image fusion processing efficiency is improved. The invention further discloses an Internet of Vehicles image data fusion device, 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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