3D deep learning-based sensor placement optimization for personalized ageing-in-place
This report presents a methodology for optima sensor placement in indoor setup using PointNet++ for 3D semantic segmentation followed by a coverage-based algorithm. The process begins with the pre-processing of point cloud data, followed by semantic segmentation using PointNet++ to identify key obje...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/166039 |