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Proceedings of CAD'17, 2017, 298-302
Design and Development of an Unmanned Aerial Vehicle to Capture Real-World Illumination for Image-Based Lighting for Dense Urban Environment   

Nan-Ching Tai, Han-Wei Jang, National Taipei University of Technology

Abstract. Daylighting not only provides alternative illumination to artificial lighting that can reduce energy consumption, it also can increase an inhabitant’s productivity and help to relieve depression. Maximizing the access of daylight for an interior space in a dense urban environment has thus become a priority in lighting design. To study the interior lighting distribution, the conventional method uses heliodons that can project artificial light to simulate a parallel sunray. It can adjust the orientation and angle between the projecting light and scale model to simulate lighting conditions for different dates and times. However, scale physical models often cannot faithfully replicate the forms or materials of the building and site context. Further, artificial lighting cannot simulate actual daylight as it is comprised of sunlight and skylight. Therefore, conventional lighting simulations can provide accurate shadow studies, but may fall short of simulating the actual luminance distribution of an interior space. Developments of related digital technologies of high-dynamic range imaging (HDR) have advanced the accuracy of lighting simulation. CIE (International Commission on Illumination; Commission Internationale de l’Eclairage) standard sky models developed and based on past data can be used in a physically-based lighting simulation program, such as RADIANCE, to provide validated simulation for lighting studies.

Keywords. Image-Based Lighting, High Dynamic Range Imaging, Remote Sensing, Drone

DOI: 10.14733/cadconfP.2017.298-302