Singh Shubham, Sharma Yash, Liaqat Amer, Kalawsky Roy S
AVRRC, Loughborough University, Epinal Way, Leicestershire, LE11 3TU England, UK.
RNT, Airbus UK, Broughton, Chester, CH4 England, UK.
Virtual Real. 2025;29(3):118. doi: 10.1007/s10055-025-01192-3. Epub 2025 Jul 22.
The advancements in the field of XR devices and systems are interesting from an industrial point of view, as they present new opportunities for improving productivity and operations through-smart tooling, digitally enhanced assembly and maintenance, inspection, remote collaborations, etc. Typically, the XR headsets claim to provide a full 6-DoF tracking, while this may be good enough for consumer or entertainment applications; for an industrial application, we need to determine the exact errors and tolerances of the tracking for practical applications. In this paper, we present our methods and critical measurements from evaluating HTC Vive XR Elite and Magic Leap 2 for full 6-DoF tracking, depth perception accuracy, and drift accumulation over time. Through these tests, we measured a significant difference between individual XR devices' tracking accuracy, depth perception, and drifts, which could range from moderate to severe impact for the on-job deployment of these devices. By systematically analyzing error margins and tracking fidelity, this study aims to provide new valuable insights into the strengths and limitations of tracking capabilities of these XR devices, and the methodology which can be adopted to evaluate others. Further, this study could also help design AR symbology and user experience for an industrial application.
从工业角度来看,扩展现实(XR)设备及系统领域的进展十分有趣,因为它们通过智能工具、数字增强装配与维护、检查、远程协作等方式,为提高生产力和运营效率带来了新机遇。通常,XR头显宣称能提供完整的六自由度(6-DoF)追踪,虽然这对于消费或娱乐应用可能足够了;但对于工业应用而言,我们需要确定实际应用中追踪的精确误差和公差。在本文中,我们展示了评估HTC Vive XR Elite和Magic Leap 2在完整6-DoF追踪、深度感知精度以及随时间的漂移累积方面的方法和关键测量结果。通过这些测试,我们测量出不同XR设备在追踪精度、深度感知和漂移方面存在显著差异,这对于这些设备的实际工作部署可能会产生从中度到严重的影响。通过系统地分析误差范围和追踪保真度,本研究旨在为这些XR设备追踪能力的优势和局限性以及可用于评估其他设备的方法提供新的有价值见解。此外,本研究还可以帮助设计工业应用的增强现实(AR)符号系统和用户体验。