Spotlight Control for Real-Time Targeting

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.