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Evaluating Magic Leap 2 controller tracking for sensor tool guidance in AR-based industrial inspections
Publikationstyp
Conference Paper
Date Issued
2025-10
Sprache
English
Start Page
440
End Page
449
Citation
IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2025
Contribution to Conference
Publisher DOI
Publisher
IEEE
ISBN of container
979-8-3315-9347-6
979-8-3315-9348-3
Rigorous evaluation of commercial Augmented Reality (AR) hardware is crucial, yet public benchmarks for tool tracking on modern Head-Mounted Displays (HMDs) are limited. This paper addresses this gap by systematically assessing the Magic Leap 2 (ML2) controller’s tracking performance. Using a robotic arm for repeatable motion (EN ISO 9283) and an optical tracking system as ground truth, our protocol evaluates static and dynamic performance under various conditions, including realistic paths from a hydrogen leak inspection use case. The results provide a quantitative baseline of the ML2 controller’s accuracy and repeatability and present a robust, transferable evaluation methodology. The findings provide a basis to assess the controller’s suitability for the inspection use case and similar industrial sensor-based AR guidance tasks.
Subjects
Augmented Reality
Sensor Guidance
Tool Tracking
Accuracy Analysis
Magic Leap 2
Hydrogen Leak Detection
DDC Class
629.13: Aviation Engineering