Kido: a hardware-accelerated lighting planning software

Information

• Publication Type: Bachelor Thesis
• Workgroup(s)/Project(s):
  • Advanced Computational Design
• Date: September 2022
• Date (Start): 5. August 2021
• Date (End): 30. September 2022
• Matrikelnummer: e11778912
• First Supervisor: Michael Wimmer

Abstract

The human visual system allows us to perceive our environment by processing incoming light. This visual system enables us to make decisions based on the information or objects we see. Many tasks in our daily life require us to see our surroundings. Depending on the task, a well-illuminated environment will be beneficial to accomplish the given task. To properly design lighting environments, computer applications are used to simulate the distribution of light and test if the results meet the predefined requirements. The current workflow of state-of-the-art applications is sequential, where the user first plans a scene and then triggers the lighting simulation. The problem with this approach is that the user will have no insight into the resulting lighting conditions until the simulation has finished. Planning a lighting environment is an iterative process, where the user iteratively changes the scene till the plan meets the requirements. Reducing the time per iteration will also reduce the overall planning time and increase the planner’s productivity. This thesis presents a novel workflow by providing the user with intermediate results of the computed lighting conditions in the planning phase. We believe that this approach will help the user to plan lighting environments faster and more intuitively.

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BibTeX

@bachelorsthesis{landauer-2022-kido,
  title =      "Kido: a hardware-accelerated lighting planning software",
  author =     "Michael Landauer",
  year =       "2022",
  abstract =   "The human visual system allows us to perceive our
               environment by processing incoming light. This visual system
               enables us to make decisions based on the information or
               objects we see. Many tasks in our daily life require us to
               see our surroundings. Depending on the task, a
               well-illuminated environment will be beneficial to
               accomplish the given task. To properly design lighting
               environments, computer applications are used to simulate the
               distribution of light and test if the results meet the
               predefined requirements. The current workflow of
               state-of-the-art applications is sequential, where the user
               first plans a scene and then triggers the lighting
               simulation. The problem with this approach is that the user
               will have no insight into the resulting lighting conditions
               until the simulation has finished. Planning a lighting
               environment is an iterative process, where the user
               iteratively changes the scene till the plan meets the
               requirements. Reducing the time per iteration will also
               reduce the overall planning time and increase the
               planner’s productivity. This thesis presents a novel
               workflow by providing the user with intermediate results of
               the computed lighting conditions in the planning phase. We
               believe that this approach will help the user to plan
               lighting environments faster and more intuitively.",
  month =      sep,
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Research Unit of Computer Graphics, Institute of Visual
               Computing and Human-Centered Technology, Faculty of
               Informatics, TU Wien ",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/",
}