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Li-Tect: 3D Monitoring and Shape Detection using Visible Light Sensors

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li-tect-3d-final submission.pdf (7.108Mb)
Identificadores
URI: http://hdl.handle.net/20.500.12761/632
ISSN: 1530-437X
DOI: DOI: 10.1109/JSEN.2018.2879398
Metadatos
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Autor(es)
Alizadeh Jarchlo, Elnaz; Tang, Xuan; Doroud, Hossein; Gil Jimenez, Victor P.; Lin, Bangjiang; Casari, Paolo; Ghassemlooy, Zabih
Fecha
2019-02-01
Resumen
In this paper, we propose Li-Tect, an algorithm to detect the shape of an object located in an indoor environment using low cost optical elements through sensing the environment's light. The algorithm analyzes, relying on the predictability of optical propagation paths, how much light is expected to propagate in the absence of obstructions caused by the presence of an object. Then, based on the received light when the object is in the room, the algorithm infers the shape of the object. In addition, the algorithm considers the reflected paths from surfaces in order to determine the object's estimated shape. We study five different scenarios characterized by different levels of complexity, room sizes and a range of reflection nodes. The algorithm is also tested in a real prototype where several experiments are carried out in two scenarios to demonstrate the capabilities of Li-Tect in two and three dimensional monitoring and shape detection cases. Finally, the results show that the shape and the detection of objects in the scenarios can be easily acquired with high accuracy, even if the number of transceivers is reduced.
Compartir
Ficheros
li-tect-3d-final submission.pdf (7.108Mb)
Identificadores
URI: http://hdl.handle.net/20.500.12761/632
ISSN: 1530-437X
DOI: DOI: 10.1109/JSEN.2018.2879398
Metadatos
Mostrar el registro completo del ítem

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