Mishra Amitabh, Carff Kevin Foster
Department of Cybersecurity and IT, HMCSE, University of West Florida, Pensacola, FL 32514, USA.
Department of Computer Science, HMCSE, University of West Florida, Pensacola, FL 32514, USA.
Sensors (Basel). 2025 Jul 15;25(14):4408. doi: 10.3390/s25144408.
Creating shared spaces is a key part of making extended reality (XR) and Internet of Things (IoT) technology more interactive and collaborative. Currently, one system which stands out in achieving this end commercially involves spatial anchors. Due to the cloud-based nature of these anchors, they can introduce connectivity and privacy issues for projects which need to be isolated from the internet. This research attempts to explore and create a different approach that does not require internet connectivity. This work involves the creation of an AprilTags-based calibration system as a local solution for creating shared XR spaces and investigates its performance. AprilTags are simple, scannable markers that, through computer vision algorithms, can help XR devices figure out position and rotation in a three-dimensional space. This implies that multiple users can be in the same virtual space and in the real-world space at the same time, easily. Our tests in XR showed that this method is accurate and works well for synchronizing multiple users. This approach could make shared XR experiences faster, more private, and easier to use without depending on cloud-based calibration systems.
创建共享空间是使扩展现实(XR)和物联网(IoT)技术更具交互性和协作性的关键部分。目前,在商业上实现这一目标方面表现突出的一个系统涉及空间锚点。由于这些锚点基于云的特性,它们可能会给需要与互联网隔离的项目带来连接性和隐私问题。本研究试图探索并创建一种不需要互联网连接的不同方法。这项工作包括创建一个基于AprilTags的校准系统,作为创建共享XR空间的本地解决方案,并研究其性能。AprilTags是简单的、可扫描的标记,通过计算机视觉算法,可帮助XR设备在三维空间中确定位置和旋转。这意味着多个用户可以同时轻松地处于同一虚拟空间和现实世界空间中。我们在XR中的测试表明,这种方法准确无误,并且在同步多个用户方面效果良好。这种方法可以使共享XR体验更快、更私密且更易于使用,而无需依赖基于云的校准系统。