Abstract
Operating heavy machinery is challenging and can pose safety hazards for the operator and bystanders. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operator facilitate their tasks and enhance safety. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. Finally, we showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup.
Original language | English |
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Title of host publication | Proceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 235-243 |
Number of pages | 9 |
ISBN (Electronic) | 9798350374490 |
DOIs | |
Publication status | Published - 2024 |
Event | 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops: VRW 2024 - Orlando, United States Duration: 16 Mar 2024 → 21 Mar 2024 |
Conference
Conference | 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops |
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Abbreviated title | VRW 2024 |
Country/Territory | United States |
City | Orlando |
Period | 16/03/24 → 21/03/24 |
Keywords
- Human-centered computing
- Visualization
- Visualization design and evaluation methods
ASJC Scopus subject areas
- Human-Computer Interaction
- Media Technology
- Modelling and Simulation
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Dive into the research topics of 'Spatial Augmented Reality for Heavy Machinery Using Laser Projections'. Together they form a unique fingerprint.Prizes
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Best Paper Honorable Mention: Spatial Augmented Reality for Heavy Machinery using Laser Projections
Kernbauer, Thomas Martin (Recipient), Tschulik, Maximilian (Recipient), Fleck, Philipp (Recipient) & Arth, Clemens (Recipient), 16 Mar 2024
Prize: Prizes / Medals / Awards