Personalizing navigation systems to improve incidental spatial learning during real-world navigation

Development of Geography-aware Artificial intelligence (GeoAI) Techniques for Crowd Prediction and Management

Doctoral project Sus Geeraerts

Exploring the Applications of Spatiotemporal Trajectory Data and GeoAI in Urban Mobility Studies: From Metadata Modelling to Mobility Behaviour Analysis

Exploring Wayfinder's Task-specific Cognitive Processes Employing Combined Eye-Tracking and EEG

Extending deep neural network embeddings with geographic knowledge and transportation models for human mobility studies

Grounding Large Language Models with Geo-Knowledge-guided prompting and post-processing for trajectory-related mobility applications

Modelling of the Scene Complexity of Navigation Environments and Visual Areas of Interest for Egocentric Pedestrian Navigation Systems Using Street-View Panoramas

Modelling street-level urban sunlight and greenery for healthcare and mobility studies

Pedestrian-Oriented Street Environment Optimization: Using 3D City Modeling and Machine Learning Techniques

Research on the perceived neighbourhood street environment for promoting social interaction of the elderly based on virtual streets environment experiment evaluation

The automatic generalization of multi-scale map representation: A deep learning-based approach

Automatic extraction of interactive 3D spatial models based on continuous Street View panoramic sequences

Doctoral project Zhicheng Zhan

How do human car drivers, cyclists and pedestrians interact with autonomous cars? – Empirical studies in Virtual Reality with eye-tracking and EEG

The application and validation of social media data in landscape planning and urban planning

Transition to shared mobility: Usage pattern, challenges, and environmental impacts

Adaptive Cartography for Human-Centered Location Based Services

Exploring the Applications of Spatiotemporal Trajectory Data and GeoAI in Urban Mobility Studies: From Metadata Modelling to Mobility Behaviour Analysis

GeoAI for Urban and Mobility Analytics

Mobile eye-tracking glasses and electroencephalography (EEG).

Modelling street-level urban sunlight and greenery for healthcare and mobility studies.

The automatic generalization of multi-scale map representation: A deep learning-based approach

Testing & optimising a mobile app in Belgium for the prevention and management of COVID-19 infections