Research And Application Of Optical Positioning In Virtual Reality

In large building environment,such as shopping malls,airports,museums,the flow of people density is big and the structure of the building is complex.Therefore,people want to be free to locate and navigation indoors.In addition,"virtual reality" is a computer system that can create and experience virtual world.This system uses sensor,scene drawing and other techniques to build a human-computer interaction scene,so that users have an immersive experience.The realization of "virtual reality" also requires the combination of indoor positioning technology and virtual reality technology.By wearing the relevant devices,people in the room achieve the combination with computer systems and can further enter the virtual world.Although the development of outdoor positioning technology is more mature,the indoor positioning technology is still in its infancy.This paper first analyzes the positioning technology in the virtual reality products on the market,studies the algorithms used in the positioning process and analyzes its advantages and disadvantages.By researching the Oculus Rift positioning technology of the more mature virtual reality products on the market,the positioning system is analyzed and the shortcomings of the positioning technology are summarized.The operation of the positioning coordinates is obtained by image discretization and coordinate system conversion.Using this method to locate the computer requires a huge picture processing task.Moreover,there exist the dropped frames and delays in the course of the operation,which ultimately leads to lower user experience.In view of the above problems,this paper presents a time-based indoor positioningtechnology.The coordinate value of each reference node is obtained by converting the time taken by the base station scan into the rotation angle of the optical sector in the coordinate system.In this system,the rotation speed and period of the base station can be calibrated by hardware,and the angle of the base station and a sensing point can be solved by observing the time from the scanning plane of the base station to the sensor.Finally,the coordinates in the space relative to the base station can be solved by TOA and AOA algorithms,which can help to determine the location of the sensor in the space.At least four points of the coordinates of the coordinates can only determine the location and angle of the object.In the whole positioning process,the computer only needs to solve the time,angle and other parameters instead of complicated and cumbersome image processing process.So the processing speed is quick and delay is small.This kind of technology can enhance the screen synchronization of the user experience virtual reality environment and make the user's sense of immersion stronger.At the end of this paper,the experimental data are obtained by MALAB experiment simulation of the above-mentioned localization algorithm,and the experimental data are compared with the theoretical data.The correctness of the scheme is verified.The positioning technology and hardware structure design have been submitted to Beijing Huayun Zhilian Technology Co.,Ltd to verify the physical,and soon the product will be able to market.