Langezijds

prof.dr.ir. M.G. Vosselman (George)

Hoogleraar
ITC-SCI-TECH
Langezijds 1330
george.vosselman@utwente.nl
+31534874344
Visitekaartje

Ik ben afgestudeerd als geodetisch ingenieur aan de TU Delft en gepromoveerd aan de Universiteit van Bonn, Duitsland. Since 2004 ben ik hoogleraar in Geo-informatie-extractie met sensorsystemen aan de Faculteit voor Geo-informatiewetenschappen en Aardobservatie (ITC) van de Universiteit Twente. Ik ben mentor van de specialisatie Algorithms and Software AI van het Master's programma Robotics. Mijn onderzoeksvelden zijn fotogrammetrie en laserscanning. Dit omvat het afleiden van ruimtelijke en semantische informatie uit beelden en puntwolken.

Expertises

  • Computer Science

    • Point Cloud
    • Unmanned Aerial Vehicle
    • Image Segmentation
    • Convolutional Neural Network

  • Earth and Planetary Sciences

    • Laser Scanning
    • Pilotless Aircraft
    • Airborne Laser Scanning
    • Mobile Mapping

Organisaties

Nevenwerkzaamheden

  • Miramap Aerial SurveysR&D

Publicaties

2026

Incremental semantics-aided meshing from LiDAR-inertial odometry and RGB direct label transfer (2026)In XXV ISPRS Congress 2026 ā€œFrom Imagery to Understandingā€, Commission II (pp. 335-342) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Affan, M., Lehtola, V. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-335-2026A comparison of multi-view stereo methods for photogrammetric 3D reconstruction: From traditional to learning-based approaches (2026)In XXV ISPRS Congress 2026 ā€œFrom Imagery to Understandingā€, Commission II (pp. 721-728) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Li, Y., Vosselman, G. & Nex, F.https://doi.org/10.5194/isprs-annals-XI-2-2026-721-2026Feasibility of indoor frame-wise Lidar semantic segmentation via distillation from visual foundation model (2026)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 263-270) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Wu, H., Torres, J. J. G., Vosselman, G. & Lehtola, V.https://doi.org/10.5194/isprs-annals-XI-1-2026-263-2026ACPV-Net: All-class polygonal vectorization for seamless vector map generation from aerial imagery (2026)[Contribution to conference › Paper] The IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2026 2026. Jiao, W., Cheng, H., Vosselman, G. & Persello, C.https://openaccess.thecvf.com/content/CVPR2026/papers/Jiao_ACPV-Net_All-Class_Polygonal_Vectorization_for_Seamless_Vector_Map_Generation_from_CVPR_2026_paper.pdfClean and consistent MLS point clouds from the start: Moving-object removal coupled with LIDAR-inertial odometry for urban scenes (2026)ISPRS journal of photogrammetry and remote sensing, 238, 775-793 (E-pub ahead of print/First online). Wang, S., Lehtola, V. V., Wu, H. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2026.05.039Mono-Hydra++: Real-time monocular scene graph construction with multi-task learning for 3D indoor mapping (2026)[Working paper › Preprint]. Udugama, U. V. B. L., Vosselman, G. & Nex, F.Bridge: Basis-driven causal inference marries VFMs for domain generalization (2026)[Working paper › Preprint]. ArXiv.org. Hong, M., Liu, F., Gevaert, C., Vosselman, G. & Cheng, H.https://doi.org/10.48550/arXiv.2604.26820M2h-mx: Multi-task dense visual perception for real-time monocular spatial understanding (2026)[Working paper › Preprint]. Udugama, U. V. B. L., Vosselman, G. & Nex, F.

Onderzoeksprofielen

Adres

Universiteit Twente

Langezijds (gebouwnr. 19), kamer 1330
Hallenweg 8
7522 NH Enschede

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Organisaties

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