Embedded Files
The main limitation of existing photometer-based daylighting controls is the fundamental inability to identify the location, size and brightness of a potential glare source in real-time. High Dynamic Range Imaging (HDRI) combined with wide fisheye lens can capture luminance maps within the full human field of view. With the new generation of low-cost HDRI sensors, there is an obvious potential for human-centric, luminance-based sensing and control. Fast HDR image processing and per-pixel analysis are important steps for adoption of this technique.
Related projects
Real-time glare detection and control using a window-mounted HDRI sensor
A stereo-fisheye camera sensor system for daylighting and glare control
Programmable HDRI cameras for web-based sensing and control of the visual environment
Luminance map re-projection via HDRI and indoor space 3-D reconstruction: a novel SfM-MVS photogrammetry framework
Prediction of lighting preferences using HDRI, computer vision and deep learning techniques
Related publications
D. Mah, A. Tzempelikos, "Inferring personal daylighting preferences using HDRI and deep learning techniques", Building and Environment, 266, 112128 (2024).
D. Mah, A. Tzempelikos, "Real-Time Monitoring of Internal and Solar Heat Gains using HDRI and Deep Learning", Energy and Buildings, 324, 114864 (2024).
M. Kim, A. Tzempelikos, “Performance evaluation of non-intrusive luminance mapping towards human-centered daylighting control”, Building and Environment, 213, 108857, (2022).
M. Kim, A. Tzempelikos, “Semi-automated luminance map re-projection via High Dynamic Range Imaging and indoor space 3-D reconstruction”, Automation in Construction, 129, 103812 (2021).
M. Kim, I. Konstantzos, A. Tzempelikos, “Real-time daylight control using a low-cost, window mounted HDRI sensor”, Building and Environment, 177, 106912 (2020).
D. Mah, K. Kircher, A. Tzempelikos, “Real-Time, Demand-Driven HVAC and Lighting Control Using Computer Vision-Based Detection of Internal and Solar Gains”, Proceedings of ASHRAE Winter Conference, Chicago, January 2024.
D. Mah, A. Tzempelikos, “A luminance-based approach for inferring personal daylight preferences using a new composite similarity index”, Proceedings of 7th International High Performance Buildings conference at Purdue, July 2022
M. Kim, I. Konstantzos, A. Tzempelikos, “A programmable image sensor for smart daylighting and glare control in buildings”, Proceedings of IAQ 2022 Conference: Indoor Environmental Quality Performance Approaches Transitioning from IAQ to IEQ, Athens, Greece, May 2022.
D. Mah, M. Kim, A. Tzempelikos, "Utilization of computer-based programmable cameras for web-based sensing and control of the luminous environment in buildings", Proceedings of CISBAT 2021 Conference, Lausanne, Switzerland, September 2021.
M. Kim, A. Tzempelikos, “Non-Obtrusive Luminance Monitoring Framework via High Dynamic Range Imaging and 3-D reconstruction", Proceedings of CISBAT 2021 Conference, Lausanne, Switzerland, September 2021.
M. Kim, I. Konstantzos, A. Tzempelikos, “A low-cost stereo-fisheye camera sensor for daylighting and glare control”, Journal of Physics: Conference series, 1343: 012157. Proceedings of CISBAT2019 Conference, Lausanne, Switzerland, September 2019.
M. Kim, I. Konstantzos, A. Tzempelikos, “A new control framework for the visual environment based on low-cost HDR luminance acquisition”, Proceedings of 5th High Performance Buildings conference at Purdue, July 2018.
Page updated
Google Sites
Report abuse