Equipment positioning method and system in visible light communication

Abstract

The embodiment of the invention provides equipment positioning method and system in visible light communication, wherein the method comprises the steps: obtaining a signal image generated by a camerain the visible light communication, carrying out the preprocessing of the signal image, and obtaining a feature image; inputting the feature image into a trained neural network to obtain three-dimensional position information of the camera, wherein the three-dimensional position information of the camera comprises, but is not limited to, one or a combination of camera position information and a camera inclination angle. According to the method and the system provided by the embodiment of the invention, the trained neural network is adopted to position the camera in the visible light communication system, and compared with a traditional geometric method, higher positioning precision can be realized under the same resolution, and meanwhile, the influence by the height of the camera is relatively small.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a device positioning method and system in visible light communication. Background technique [0002] With the explosive growth of mobile communication users, traditional radio frequency communication has gradually been unable to meet the communication needs, and visible light communication (Visible Light Communication, VLC) has attracted widespread attention due to its high speed, low power consumption, high security and strong applicability. attention of researchers. Visible light communication has great potential in short-distance communication scenarios such as indoor communication, vehicle communication, and the Internet of Things. In these communication scenarios, there is an increasing demand for Location-Base Service (LBS), such as intelligent driving, indoor navigation, and behavior detection. Since the signal is mainly transmitted through the LOS path in the ...

AI Technical Summary

Problems solved by technology

However, since most of the current cameras are digital cameras, it is difficult to accurately obtain the image point coordinates of the LED. Therefore, when the resolution of the camera is low or the distance from the LED source is too far, it is difficult to obtain an accurate position or even a position estimate. At the same time, the positioning accuracy will be affected. Influence of camera focal length, lens diopter and other parameters

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