Exploring the enhancement of predictive accuracy for minority classes in travel mode choice models

Transportation systems are pivotal in shaping the economic and social dynamics of contemporary societies, fostering connectivity and opportunities while reducing geographical distances. Despite these benefits, they also contribute to adverse effects such as emissions, congestion, and traffic fatalities. Effectively developing and maintaining...

Semantically-Guided 3D Building Facade Reconstruction: A Learning-Based MVS Approach

This thesis introduces a Learned-Based Multi-View Semantic Stereo method, addressing the limitations of traditional and learned-based Multi-View Stereo (MVS) techniques in reconstructing reflective and low-textured regions, particularly prevalent in 3D models of buildings. Traditional methods lack completeness, while learned-based methods...

Removing shared faces in 3D datasets for numerical simulations

Currently more than 4 billion people live in urban areas around the globe, a trend that is expected to be increased in the upcoming years. While urbanisation provides the space for innovation and new opportunities, in the meantime physical, technical and social challenges are rising and the cities’ vulnerability is increasing. A tool to tackle...