HEIG-VD Geomatic

We share datasets, models, and demos developed at HEIG-VD in the field of geomatics and AI for spatial data, with a strong focus on high-resolution imagery, LiDAR, photogrammetry, and multimodal learning.

Our goal is to promote reproducible research, open benchmarks, and practical baselines for real-world geospatial applications.

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Research Topics

• Semantic segmentation (2D / 3D)
• Multimodal fusion (image–LiDAR)
• Photogrammetry and georeferencing
• Large-scale and ultra-high-resolution imagery
• Geospatial AI for infrastructure mapping
• Benchmarking and reproducible baselines

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Contact

For collaborations, research questions, or dataset usage:

• Adrien Gressin
  Professor of Photogrammetry & Data Science — HEIG-VD

• Antoine Carreaud
  PhD candidate — HEIG-VD & EPFL (ESO Lab)

• Shanci Li
  Scientific Collaborator (AI) — HEIG-VD