3D Mapping of Vacant Buildings for Reuse
Abstract The dissertation explores innovative computational methods for mapping and reusing vacant buildings, a critical step in advancing sustainability within the architecture, engineering, and construction (AEC) industry. With vacant structures contributing significantly to environmental challenges, this research addresses the pressing need for efficient tools to document and assess building components for reuse, which aligns with circular economy principles. The study introduces a robust pipeline for automated 3D mapping, leveraging LiDAR and RGB data captured via consumer-grade devices like the iPad Pro. The methodology combines advanced geometric processing and machine learning techniques to segment point clouds and generate simplified solid surface models for early-phase architectural analysis.
Read MoreDefining Inhabitable Space through Form-Generation driven by Complex Wood Joinery
For architecture to become reality it has to go hand in hand with construction. This harmony of construction and architecture or structure and construction is summarised in the theory of tectonics.
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