인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
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.
#Computer science
#BitTorrent tracker
#Software deployment
#Tracking (education)
#Fidelity
#Perception
#Mobile device
#High fidelity
#Point (geometry)
#Eye tracking
#Simulation
#Real-time computing
#Artificial intelligence
#Telecommunications
#Software engineering
#Electrical engineering
#Engineering
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