Positioning system for VR display equipment

Abstract

A positioning system for VR display equipment comprises a plurality of IMU sensors, a binocular camera, a processor, a memory and a display, and the plurality of IMU sensors, the binocular camera, the memory and the display are electrically connected with the processor; the plurality of IMU sensors are respectively arranged at all positions of the body of a user and are used for detecting acceleration data and angular velocity data of the user; the processor comprises an IMU (Inertial Measurement Unit) preprocessing module, an image feature extraction module and a pose calculation module; the memory is used for storing executable instructions called by the processor; and the display is used for displaying the current pose data and the virtual display content determined by the current pose data. According to the invention, the binocular camera and the IMU sensor can be used for spatial positioning, and at the same time, the error accumulation value in the IMU sensor can be reduced, the drifting phenomenon can be prevented, and the positioning accuracy can be improved.

Description

technical field [0001] The present invention relates to the technical field of VR equipment, and in particular, to a positioning system for VR display equipment. Background technique [0002] The existing indoor tracking and positioning methods used in VR scenarios mainly include infrared optical positioning, laser positioning, low-power Bluetooth positioning, and visual positioning. Among them, the visual positioning method is based on external positioning data (such as visual slam, lighthouse, etc.) Data fusion is performed with the angular velocity and acceleration data of the carrier relative to the inertial space measured by the IMU (sensor) to provide high-frequency updated position and attitude. Mainly based on the slam algorithm, the camera is used to collect information and extract the features in the image for positioning. The accuracy of this method is not as high as that of laser positioning and infrared optical positioning, but its algorithm is simple, cheap, an...

AI Technical Summary

Problems solved by technology

Mainly based on the slam algorithm, the camera is used to collect information and extract features in the image for positioning. The accuracy of this method is not as high as that of laser positioning, infrared optical positioning, etc., but its algorithm is simple, cheap, and easy to expand, making it a The current relatively mainstream positioning solutions in the VR market

[0003] In the traditional positioning system, because the IMU sensor has the characteristic of error accumulation, there is a "drift" phenomenon, which easily leads to obvious distortion of the motion trajectory detected by the IMU sensor, affecting the accuracy of positioning

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