THEIA-XR - Revision history

Admin at 12:49, 22 April 2026

2026-04-22T12:49:52Z

← Older revision		Revision as of 12:49, 22 April 2026
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	=== Project description ===		=== Project description ===
	Even though extended reality (XR) technologies are not being fully implemented, they have the potential to offer substantial advantages to various sectors if further researched and advanced. The EU-funded THEIA-XR project will develop a set of XR technologies to expand workplace, workload and operation visibility for machinery operators. The technologies will improve worker-machine cooperation efficiency while also improving safety. The project approach will be validated by tests in three different sectors: snow grooming, construction and logistics. Finally, the project will work alongside stakeholders and researchers to develop a strategy for improved implementation of the proposed technologies in the workplace.		Even though extended reality (XR) technologies are not being fully implemented, they have the potential to offer substantial advantages to various sectors if further researched and advanced. The EU-funded THEIA-XR project will develop a set of XR technologies to expand workplace, workload and operation visibility for machinery operators. The technologies will improve worker-machine cooperation efficiency while also improving safety. The project approach will be validated by tests in three different sectors: snow grooming, construction and logistics. Finally, the project will work alongside stakeholders and researchers to develop a strategy for improved implementation of the proposed technologies in the workplace.

			=== Project outputs ===
			==== Publications ====
			{\| class="wikitable sortable"
			! Domain !! Type of output !! Title !! DOI URL
			\|-
			\| AI, Machine Learning & Data Science \|\| Conference proceedings \|\| Spotlight Control for Real-Time Targeting \|\| https://doi.org/10.5281/ZENODO.12658308
			\|-
			\| AI, Machine Learning & Data Science \|\| Peer reviewed articles \|\| Spotlight Control for Real-Time Targeting \|\| https://doi.org/10.5281/ZENODO.12658307
			\|-
			\| Computer Vision, 3D Modeling & Rendering \|\| Conference proceedings \|\| Thermochromic Temperature Measurement: Towards an Alternative to Thermal Cameras \|\| https://doi.org/10.1109/SAS65169.2025.11105166
			\|-
			\| Computer Vision, 3D Modeling & Rendering \|\| Conference proceedings \|\| PanoTherm: Panoramic Thermal Imaging for Object Detection and Tracking \|\| https://doi.org/10.5220/0012330400003660
			\|-
			\| Computer Vision, 3D Modeling & Rendering \|\| Peer reviewed articles \|\| Instant Segmentation and Fitting of Excavations in Subsurface Utility Engineering \|\| https://doi.org/10.1109/TVCG.2024.3372064
			\|-
			\| Extended Reality (VR/AR/MR) & HCI \|\| Book chapters \|\| Making the Invisible Visible - AR supported situation awareness in the snow groomer operations \|\| https://doi.org/10.32040/2242-122X.2025.T440
			\|-
			\| Extended Reality (VR/AR/MR) & HCI \|\| Book chapters \|\| Extended Reality simulator to evaluate remote control interactions for reach stackers \|\| https://doi.org/10.5281/ZENODO.18338766
			\|-
			\| Extended Reality (VR/AR/MR) & HCI \|\| Conference proceedings \|\| Assisted Trailer Parking using a Reverse Camera System and Inverse Kinematics \|\| https://doi.org/10.1109/IV64158.2025.11097420
			\|-
			\| Extended Reality (VR/AR/MR) & HCI \|\| Conference proceedings \|\| 3D Depth Experience in VR from Monocular Video \|\| https://doi.org/10.1109/VRW66409.2025.00086
			\|-
			\| Extended Reality (VR/AR/MR) & HCI \|\| Conference proceedings \|\| Making the invisible visible for off-highway machinery by conveying extended reality technologies \|\| https://doi.org/10.32040/2242-122X-2023.T422
			\|-
			\| Extended Reality (VR/AR/MR) & HCI \|\| Conference proceedings \|\| International Journal of Human Computer Studies \|\| https://doi.org/10.5220/0012393100003648
			\|-
			\| Extended Reality (VR/AR/MR) & HCI \|\| Peer reviewed articles \|\| Computers and Graphics \|\| https://doi.org/10.1109/VRW62533.2024.00047
			\|-
			\| Extended Reality (VR/AR/MR) & HCI \|\| Peer reviewed articles \|\| International Journal of Human Computer Studies \|\| https://doi.org/10.24406/PUBLICA-5669
			\|-
			\| Networks, Cloud & Telecommunications (5G/6G) \|\| Peer reviewed articles \|\| Bag of World Anchors for Instant Large-Scale Localization \|\| https://doi.org/10.1109/TVCG.2023.3320264
			\|-
			\| Robotics, Manufacturing & Industry 4.0 \|\| Conference proceedings \|\| Spatial Augmented Reality for Heavy Machinery Using Laser Projections \|\| https://doi.org/10.2139/ssrn.4942184
			\|-
			\| Robotics, Manufacturing & Industry 4.0 \|\| Conference proceedings \|\| Early-stage user experience design of the remote operation concept of the harbour's reachstacker by expoiting eXtended Reality \|\| https://doi.org/10.54941/ahfe1005411
			\|-
			\| Robotics, Manufacturing & Industry 4.0 \|\| Other \|\| Entwicklung und Evaluation eines Extended-Reality-Bedieninterfaces für Baumaschinen zur Interaktion mit digitalen Baugrubendaten im Kontext BIM \|\| https://doi.org/10.5281/ZENODO.18377690
			\|}

Admin at 08:55, 22 April 2026

2026-04-22T08:55:26Z

← Older revision		Revision as of 08:55, 22 April 2026
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	{\| class='wikitable' style='margin:auto'		{\| class='wikitable' style='margin:auto'
	\|-		\|-
	! CORDIS Reference !! Start date !! End date !! Coordinator		! CORDIS Reference !! Start date !! End date !! Coordinator !! Project website
	\|-		\|-
	\| https://cordis.europa.eu/project/id/101092861 \|\| 01/01/2023 \|\| 31/12/2025 \|\| TTCONTROL GMBH / Austria		\| https://cordis.europa.eu/project/id/101092861 \|\| 01/01/2023 \|\| 31/12/2025 \|\| TTCONTROL GMBH / Austria \|\| https://www.theia-xr.eu/
	\|}		\|}
	=== Project description ===		=== Project description ===
	Even though extended reality (XR) technologies are not being fully implemented, they have the potential to offer substantial advantages to various sectors if further researched and advanced. The EU-funded THEIA-XR project will develop a set of XR technologies to expand workplace, workload and operation visibility for machinery operators. The technologies will improve worker-machine cooperation efficiency while also improving safety. The project approach will be validated by tests in three different sectors: snow grooming, construction and logistics. Finally, the project will work alongside stakeholders and researchers to develop a strategy for improved implementation of the proposed technologies in the workplace.		Even though extended reality (XR) technologies are not being fully implemented, they have the potential to offer substantial advantages to various sectors if further researched and advanced. The EU-funded THEIA-XR project will develop a set of XR technologies to expand workplace, workload and operation visibility for machinery operators. The technologies will improve worker-machine cooperation efficiency while also improving safety. The project approach will be validated by tests in three different sectors: snow grooming, construction and logistics. Finally, the project will work alongside stakeholders and researchers to develop a strategy for improved implementation of the proposed technologies in the workplace.

Admin: Created page with "=== THEIA-XR Project === {| class='wikitable' style='margin:auto' |- ! CORDIS Reference !! Start date !! End date !! Coordinator |- | https://cordis.europa.eu/project/id/101092861 || 01/01/2023 || 31/12/2025 || TTCONTROL GMBH / Austria |} === Project description === Even though extended reality (XR) technologies are not being fully implemented, they have the potential to offer substantial advantages to various sectors if further researched and advanced. The EU-funded..."

2025-03-04T13:50:30Z

Created page with "=== THEIA-XR Project === {| class='wikitable' style='margin:auto' |- ! CORDIS Reference !! Start date !! End date !! Coordinator |- | https://cordis.europa.eu/project/id/101092861 || 01/01/2023 || 31/12/2025 || TTCONTROL GMBH / Austria |} === Project description === Even though extended reality (XR) technologies are not being fully implemented, they have the potential to offer substantial advantages to various sectors if further researched and advanced. The EU-funded..."

New page

=== THEIA-XR Project ===
{| class='wikitable' style='margin:auto'
|-
! CORDIS Reference !! Start date !! End date !! Coordinator
|-
| https://cordis.europa.eu/project/id/101092861 || 01/01/2023 || 31/12/2025 || TTCONTROL GMBH / Austria
|}
=== Project description ===
Even though extended reality (XR) technologies are not being fully implemented, they have the potential to offer substantial advantages to various sectors if further researched and advanced. The EU-funded THEIA-XR project will develop a set of XR technologies to expand workplace, workload and operation visibility for machinery operators. The technologies will improve worker-machine cooperation efficiency while also improving safety. The project approach will be validated by tests in three different sectors: snow grooming, construction and logistics. Finally, the project will work alongside stakeholders and researchers to develop a strategy for improved implementation of the proposed technologies in the workplace.