Range sensing and environmental simulation for smart lighting applications

Authors
Jia, Li
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Other Contributors
Radke, Richard J., 1974-
Mishra, Sandipan
Julius, Anak Agung
Wen, John T.
Issue Date
2014-05
Keywords
Electrical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Next, we extend the time-of-flight occupancy sensing framework to the new Smart Conference Room constructed on the Rensselaer Polytechnic Institute (RPI) campus, using a ceiling-mounted array of time-of-flight cameras. This large environment brings new challenges and requires new algorithm modifications. We discuss the challenges and propose corresponding solutions, including multi-sensor interference elimination, integration of sensors in the development environment of a smart lighting system, and calibration of height measurements for robust pose estimation. We also improve the tracking algorithm by using the location, height, area and shape information for blob matching. This up-scaled tracking system is validated with experiments on full-scale time-of-flight videos recorded in the conference room with multiple occupants walking around.
Description
May 2014
School of Engineering
Department
Dept. of Electrical, Computer, and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
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