Název:	Spotlight Control for Real-Time Targeting
Autoři:	Heinemann, Mika Benjamin Kernbauer, Thomas Fleck, Philipp Arth, Clemens
Citace zdrojového dokumentu:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 299-306.
Datum vydání:	2024
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57403
ISSN:	2464–4625 (online) 2464–4617 (print)
Klíčová slova:	rozšířená realita;prostorová rozšířená realita;reflektor
Klíčová slova v dalším jazyce:	augmented reality;spatial augmented reality;spotlight
Abstrakt v dalším jazyce:	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.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	WSCG 2024: Full Papers Proceedings

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.