Real-time Assistance with AR HUD Screen in the...
Địa chỉ: https://dl.acm.org/doi/10.1145/3789624.3789637
Heli Kymäläinen, Borja García-Pascual, Carlos Martín-Cortés, Martino Rogai, Mari Selkimäki, Xin Zhou, Esteban Arboix, Mauricio Acuna, Blas Mola-Yudego This study investigates a gamified real-time assistance concept for forest harvesters, integrating augmented reality (AR) and LiDAR-based data visualization through a head-up display (HUD). The approach draws from gamification principles—enhancing engagement, feedback, and situational awareness—to support operator decision-making and ergonomics. A field test was conducted in Ilomantsi, Finland, employing a John Deere 1170G harvester equipped with an external LiDAR scanner and an in-cabin holographic HUD. Real-time tree detection and diameter estimation were achieved through LiDAR data processing with a YOLO-based convolutional neural network. The system successfully projected tree positions and estimated diameters onto the HUD during the felling of 60 trees. Operator workload, assessed using the NASA-TLX method, indicated low cognitive strain and positive usability feedback. The results demonstrate the feasibility of real-time holographic visualization in dynamic forest environments but highlight calibration and information flow challenges. Further improvements are needed in system setup, eye-position alignment, and data visualization to optimize ergonomic benefits and decision support in mechanized harvesting operations.
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| Miền | Giá trị |
|---|---|
| Data last updated | 9 tháng 4, 2026 |
| Metadata last updated | 9 tháng 4, 2026 |
| Được tạo ra | 9 tháng 4, 2026 |
| Định dạng | |
| Giấy phép | Creative Commons Attribution Share-Alike |
| Datastore active | False |
| Has views | True |
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| Package id | 688f28f2-75cf-4dab-8644-643bd1d346fe |
| Position | 0 |
| State | active |