Youness Dehbi

SVI2LoD3: Agent-Driven Reconstruction of LoD3 Façade Openings in Semantic 3D City Models from Volunteered Street View Imagery using Large Language and Visual Models

This paper presents an end-to-end, agent-driven pipeline for the LoD3 reconstruction of façade openings in 3D city models, producing directly usable CityGML-conform outputs. In contrast to existing approaches that rely on supervised semantic segmentation and therefore require lar...

End-to-End Pothole Detection and Semantic 3D City Model Enrichment Using LoRA-Adapted Foundation Models and Open Street-Level Imagery

Regular road inspection is essential for maintaining pavement service life and ensuring traffic safety. Conventional approaches require specialized survey vehicles and sensor payloads, while damage assessment relies predominantly on supervised computer vision models trained on la...