Illumination is important for well-being, productivity and safety across several environments, including offices, retail shops and industrial warehouses. Current techniques for setting up lighting require extensive and expert support and need to be repeated if the scene changes. Here we propose the first fully-automated light management system (LMS) which measures lighting in real-time, leveraging an RGBD sensor and a radiosity-based light propagation model. Thanks to the integration of light distribution and perception curves into the radiosity, we outperform a commercial software (Relux) on a newly introduced dataset. Furthermore, our proposed LMS is the first to estimate both the presence and the attention of the people in the environment, as well as their light perception. Our new LMS adapts therefore lighting to the scene and human activity and it is capable of saving up to 66%, as we experimentally quantify,without compromising the lighting quality.

中文翻译：

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具有实时光测量和人类感知的集成光管理系统

照明对于办公室、零售店和工业仓库等多种环境中的福祉、生产力和安全都很重要。当前用于设置照明的技术需要广泛的专家支持，并且在场景发生变化时需要重复。在这里，我们提出了第一个全自动光管理系统 (LMS)，它利用 RGBD 传感器和基于光能传递的光传播模型实时测量照明。由于将光分布和感知曲线集成到光能传递中，我们在新引入的数据集上的表现优于商业软件 (Relux)。此外，我们提出的 LMS 是第一个估计人们在环境中的存在和注意力，以及他们的光感。