Shubham Singh, Yash Sharma, Amer Liaqat, Roy S Kalawsky
{"title":"Evaluation of XR device's real-world tracking accuracy and depth perception from an industrial point of view.","authors":"Shubham Singh, Yash Sharma, Amer Liaqat, Roy S Kalawsky","doi":"10.1007/s10055-025-01192-3","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":23727,"journal":{"name":"Virtual Reality","volume":"29 3","pages":"118"},"PeriodicalIF":5.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12283432/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virtual Reality","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10055-025-01192-3","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/22 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The journal, established in 1995, publishes original research in Virtual Reality, Augmented and Mixed Reality that shapes and informs the community. The multidisciplinary nature of the field means that submissions are welcomed on a wide range of topics including, but not limited to:
Original research studies of Virtual Reality, Augmented Reality, Mixed Reality and real-time visualization applications
Development and evaluation of systems, tools, techniques and software that advance the field, including:
Display technologies, including Head Mounted Displays, simulators and immersive displays
Haptic technologies, including novel devices, interaction and rendering
Interaction management, including gesture control, eye gaze, biosensors and wearables
Tracking technologies
VR/AR/MR in medicine, including training, surgical simulation, rehabilitation, and tissue/organ modelling.
Impactful and original applications and studies of VR/AR/MR’s utility in areas such as manufacturing, business, telecommunications, arts, education, design, entertainment and defence
Research demonstrating new techniques and approaches to designing, building and evaluating virtual and augmented reality systems
Original research studies assessing the social, ethical, data or legal aspects of VR/AR/MR.