Evaluating Magic Leap 2 Tool Tracking for AR Sensor Guidance in Industrial Inspections
Fuente:
arXiv
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866912728650612736 |
|---|---|
| author | Masuhr, Christian Koch, Julian Schüppstuhl, Thorsten |
| author_facet | Masuhr, Christian Koch, Julian Schüppstuhl, Thorsten |
| contents | 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) controllers 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 controllers suitability for the inspection use case and similar industrial sensor-based AR guidance tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_05391 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Evaluating Magic Leap 2 Tool Tracking for AR Sensor Guidance in Industrial Inspections Masuhr, Christian Koch, Julian Schüppstuhl, Thorsten Robotics Human-Computer Interaction Multimedia 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) controllers 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 controllers suitability for the inspection use case and similar industrial sensor-based AR guidance tasks. |
| title | Evaluating Magic Leap 2 Tool Tracking for AR Sensor Guidance in Industrial Inspections |
| topic | Robotics Human-Computer Interaction Multimedia |
| url | https://arxiv.org/abs/2509.05391 |