Title:	Spotlight Control for Real-Time Targeting
Authors:	Heinemann, Mika Benjamin Kernbauer, Thomas Fleck, Philipp Arth, Clemens
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 299-306.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57403
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	rozšířená realita;prostorová rozšířená realita;reflektor
Keywords in different language:	augmented reality;spatial augmented reality;spotlight
Abstract in different language:	Off-road heavy machinery such as snow groomers or excavators, often operate in low-light and hazardous envi ronments. In this work, we explore the development of an intelligent camera-spotlight system with automatic and manual control to illuminate points of interest, such as obstacles or individuals at risk. We implement a prototype as proof of concept and integrate our workflow using a standard lighting protocol and a single-board computer. The presented calibration of the camera and spotlight ensures high precision in the desired use cases. In addition to testing the prototype on a real snow groomer, we evaluated its performance in terms of accuracy and repeatability. Overall, we showcase the usability of a commercially available spotlight in the context of spatial augmented reality in heavy machinery applications.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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