论文标题
多巴胺：多普勒的频率和到达角度最小化跟踪误差的扩展现实
DOPAMINE: Doppler frequency and Angle of arrival MINimization of tracking Error for extended reality
论文作者
论文摘要
在本文中，我们研究了如何使用联合通信和传感（JCAS）来改善惯性测量单元（IMU） - 基于扩展现实（XR）头部安装的显示器（HMD）的跟踪准确性。当丢失光学和红外（IR）跟踪时，使用这种跟踪，并且缺乏准确性会导致用户体验中断。特别是，我们分析了使用基于多普勒的速度估计来帮助基于加速度计的位置估计和到达角度（AOA）估计以有助于基于陀螺仪的方向估计的影响。尽管实际上比IMU的准确性不如IMU，但基于JCA的方法需要更少的集成步骤，从而使跟踪随着时间的推移更加可持续。基于提议的模型，我们得出的结论是，至少在立场估计的情况下，引入JCA可以使持久的光学/IR跟踪损失更加可持续。
In this paper, we investigate how Joint Communication And Sensing (JCAS) can be used to improve the Inertial Measurement Unit (IMU)- based tracking accuracy of eXtended Reality (XR) Head-Mounted Displays (HMDs). Such tracking is used when optical and InfraRed (IR) tracking is lost, and its lack of accuracy can lead to disruption of the user experience. In particular, we analyze the impact of using doppler-based speed estimation to aid the accelerometer-based position estimation, and Angle of Arrival (AoA) estimation to aid the gyroscope-based orientation estimation. Although less accurate than IMUs for short times in fact, the JCAS based methods require one fewer integration step, making the tracking more sustainable over time. Based on the proposed model, we conclude that at least in the case of the position estimate, introducing JCAS can make long lasting optical/IR tracking losses more sustainable.
