Scalable AI-Assisted 3D City Model Reconstruction from Multiple Sourced Systems

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The key objective of the research is to develop a reliable and practical human-in-the-loop framework for the fusion of multi-sourced system and create useful 3D City representation. At the moment, there is a lot of manual work involved in OS and are only made available at a very local scale because the labourintensive nature of the practices limits scalability. The project aims to leverage the human-in-the-loop approach to gather the knowledge required to develop processes that could save operational costs, handlea much larger region/city/nations, allow better time and resource management, faster surveying (e.g., via flying/street drones) with high accuracy for subsequent inspection and measurement. It will train a PhD researcher with the right background in humancentredness, deep learning, procedure modelling and 3D geometry processing.