GeoInformation (United Kingdom)

AngleCam V2: Predicting leaf inclination angles across taxa from daytime and nighttime photos

Abstract Understanding how plants capture light and maintain their energy balance is crucial for predicting how ecosystems respond to environmental changes. By monitoring leaf inclination angle distributions (LIADs), we can gain insights into plant behaviour that directly influen...

Deep generative model for human mobility behavior

Understanding and modeling human mobility is central to challenges in transport planning, sustainable urban design, and public health. Despite decades of effort, simulating individual mobility remains challenging because of its complex, context-dependent, and exploratory nature....

Design and Implementation of an AR System for Real-Time Urban Model Editing and Visualization

Abstract. Urban planning increasingly relies on 3D city models and geospatial databases for sustainable development. However, no complete system currently offers immersive 3D visualization of building attributes in augmented reality (AR), bidirectional attribute editing propagate...