10 papers
SVI2LoD3: Agent-Driven Reconstruction of LoD3 Facade Openings in Semantic 3D City Models from Volunteered Street View Imagery using Large Language and Visual Models
Elmehdi Kanna, Lukas Arzoumanidis, Huynh Duc An Son Nguyen +1
This paper presents an end-to-end, agent-driven pipeline for the LoD3 reconstruction of facade openings in 3D city models, producing directly usable CityGML-conform outputs. In con…
AuthentiCity: A Multi-Source Provenance-Aware Knowledge Graph and Benchmark for 3D City Models
Huynh Duc An Son Nguyen, Lukas Arzoumanidis, Youness Dehbi
Urban digital twins increasingly combine authoritative, crowd-sourced, machine-learned, and reconstructed data with differing reliability, coverage, and semantics. Yet few urban da…
pykci: A Compact Urban Knowledge Graph for Semantic and Spatial Queries using LLMs
Huynh Duc An Son Nguyen, Lukas Arzoumanidis, Youness Dehbi
CityGML, the OGC standard for modeling, storage, and exchange of semantic 3D city models, describes urban objects with detailed semantics, geometry, and topology. Yet this richness…
3D Spatial Pattern Matching
Nicole R. Schneider, Avik Das, Lukas Arzoumanidis +3
Spatial pattern matching is the process of matching query entities and constraints with database entities and relations. It has many applications, including similar region search,…
Reconstructing GRACE Terrestrial Water Storage with Spatio-Temporal Graph Neural Networks: An Application to South America
Lukas Arzoumanidis, Lara Johannsen, Klara Middendorf +2
Terrestrial water storage (TWS) integrates snow, soil moisture, surface water, and groundwater and is a key indicator of how climate variability and human activity reshape the glob…
Multi-Modal Contrastive Learning for Implicit Earth Embeddings via Location Tying
Jonathan Hecht, Lukas Arzoumanidis, Ziyue Li +1
Spatial prediction tasks are often limited by a lack of high-quality labelled ground-truth observations. To overcome this challenge, self-supervised pre-training is a possible solu…
A 3D virtual geographic environment for flood representation towards risk communication
Weilian Li, Jun Zhu, Saied Pirasteh +4
Risk communication seeks to develop a shared understanding of disaster among stakeholders, thereby amplifying public awareness and empowering them to respond more effectively to em…
Automatic Uncertainty-Aware Synthetic Data Bootstrapping for Historical Map Segmentation
Lukas Arzoumanidis, Julius Knechtel, Jan-Henrik Haunert +1
The automated analysis of historical documents, particularly maps, has drastically benefited from advances in deep learning and its success across various computer vision applicati…
Review of Passenger Flow Modelling Approaches Based on a Bibliometric Analysis
Jonathan Hecht, Weilian Li, Ziyue Li +1
This paper presents a bibliometric analysis of the field of short-term passenger flow forecasting within local public transit, covering 814 publications that span from 1984 to 2024…
Inferring Routing Preferences of Bicyclists from Sparse Sets of Trajectories
J. Oehrlein, A. Förster, D. Schunck +3
Understanding the criteria that bicyclists apply when they choose their routes is crucial for planning new bicycle paths or recommending routes to bicyclists. This is becoming more…