[HTML][HTML] Adaptive museum lighting using cnn-based image segmentation

J Cerpentier, N Rondelez, N Slembrouck… - Building and …, 2023 - Elsevier
Modern smart lighting systems have the potential to improve lighting conditions by
employing adaptive dimming. However, the light intensity pattern of the individual luminaires …

Physically-based editing of indoor scene lighting from a single image

Z Li, J Shi, S Bi, R Zhu, K Sunkavalli, M Hašan… - … on Computer Vision, 2022 - Springer
We present a method to edit complex indoor lighting from a single image with its predicted
depth and light source segmentation masks. This is an extremely challenging problem that …

Neural lighting simulation for urban scenes

A Pun, G Sun, J Wang, Y Chen… - Advances in …, 2024 - proceedings.neurips.cc
Different outdoor illumination conditions drastically alter the appearance of urban scenes,
and they can harm the performance of image-based robot perception systems if not seen …

[PDF][PDF] Indoor surveillance camera based human centric lighting control for smart building lighting management

SH Yoon, KS Lee, JS Cha, V Mariappan… - … Journal of Advanced …, 2020 - researchgate.net
The human centric lighting (HCL) control is a major focus point of the smart lighting system
design to provide energy efficient and people mood rhythmic motivation lighting in smart …

[HTML][HTML] A dataset of images of public streetlights with operational monitoring using computer vision techniques

I Mavromatis, A Stanoev, P Carnelli, Y Jin… - Data in Brief, 2022 - Elsevier
A dataset of street light images is presented. Our dataset consists of∼ 350 k images, taken
from 140 UMBRELLA nodes installed in the South Gloucestershire region in the UK. Each …

Data-driven digital lighting design for residential indoor spaces

H Ren, H Fan, R Wang, Y Huo, R Tang… - ACM Transactions on …, 2023 - dl.acm.org
Conventionally, interior lighting design is technically complex yet challenging and requires
professional knowledge and aesthetic disciplines of designers. This article presents a new …

DeePLS: Personalize Lighting in Smart Home by Human Detection, Recognition, and Tracking

A Sobhani, F Khorshidi, M Fakhredanesh - SN Computer Science, 2023 - Springer
In recent years, the intelligence of different parts of the home has become one of the
essential features of any modern home. One of these parts is the intelligence lighting system …

MudGet: Reproduction of the desired lighting environment using a smart-LED

YH Kim, YY Lee, B Ahmed, MG Son… - Journal of …, 2017 - academic.oup.com
With the emergence of smart LEDs, lighting based interior design is becoming popular.
However, most of the smart LED-based lighting systems rely on expert-human intervention …

An adaptive smart lighting system

S Afshari, S Mishra, J Wen, R Karlicek - … of the Fourth ACM Workshop on …, 2012 - dl.acm.org
This demo abstract introduces an adaptive lighting testbed in the Smart Lighting
Engineering Research Center located at Rensselaer Polytechnic Institute to highlight the …

Smart lighting system using ANN-IMC for personalized lighting control and daylight harvesting

NK Kandasamy, G Karunagaran, C Spanos… - Building and …, 2018 - Elsevier
Lighting contributes a significant portion to the overall energy consumption in an office
building. It is thus important to reduce the energy consumption of lighting systems especially …