Leibniz Universität Hannover Faculty Faculty of Civil Engineering and Geodetic Science
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Institute of Cartography and Geoinformatics
 
Institute of Cartography and Geoinformatics Research
Publications

Publications of the Institute of Cartography and Geoinformatics

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Total number of publications found: 903
  • Brysch, M., Laurich, B., & Sester, M. (2026): Pore segmentation in electron micrographs: A probabilistic approach by ensemble machine learning.,  Applied Clay Science, 279, 108047.
    Reviewed Journal Articles and Book Chapters
  • Dorozynski, M., Rottensteiner, F., Thiemann, F., Sester, M., Dahms, T. & Hovenbitzer, M. (2025): Multi-modal Land Cover Classification of Historical Aerial Images and Topographic Maps Exploiting Attention-based Feature Fusion,  ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 10, G-2025, S. 221-229 9 S.
    Reviewed Conference Papers
  • Fuest, S., Gollenstede, A., & Sester, M. (2025): Visualization concepts for representing spatiotemporal vagueness in colonial collection research using the example of historical ship journeys,  Abstracts of the ICA, Eds. Mir Abolfazl Mostafavi, Jonathan Li, and Emmanuel Stefanakis (accepted)
    Reviewed Conference Papers
  • Fuest, S.; Gollenstede, A.; Herbers, M.; Kaiser, R.; Tadge, J. (2025): Visualisation of C18/C19 shipping routes based on fuzzy geospatial data.,  UK-Ireland Digital Humanities Association 2025 Annual Event, Glasgow, UK.
    Other Contributions
  • Kamalasanan, V., Fuest, S., Shkedova, O., & Sester, M. (2025): Visualising Collision Spot Uncertainty with Augmented Reality,  2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 310-312). IEEE.
    Conference Papers
  • Leichter, A., Almeev, R., Holtz, F., & Sester, M. (2025): Semi automated Phase Segmentation of volcanic rocks from energy-dispersive X-ray spectroscopy images using foundation segmentation model.,  In Goldschmidt 2025 Conference. GOLDSCHMIDT
    Conference Papers
  • Leichter, A., Almeev, R., Sester, M., Holtz, F. (2025): Machine Learning (ML) methods to address automated mineral segmentation and zonation pattern clustering: application for diffusion chronometry in volcanic rocks,  IAVCEI 2025 – Geneva
    Other Contributions
  • Miandashti, H. S., & Brenner, C. (2025): Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs,  In DAGM German Conference on Pattern Recognition (pp. 615-628). Cham: Springer Nature Switzerland.
    Reviewed Conference Papers
  • Miandashti, H.S., Zou, Q. and Brenner, C. (2025): Uncertainty-Aware Scene Understanding via Efficient Sampling-Free Confidence Estimation,  In Conference on Robot Learning (pp. 4401-4417). PMLR
    Reviewed Conference Papers
  • Mortazavi, F. S., Brenner, C. & Sester, M. (2025): Range-View-Based Normal Estimation for Sparse LiDAR SLAM.,  International Conference on Indoor Positioning and Indoor Navigation (IPIN). Nurmi, J., Lohan, S., Ometov, A., Klus, L., Mutschler, C. & Torres-Sospedra, J. (Hrsg.). S. 1-6 6 S.
    Reviewed Conference Papers
  • Oskar Wage, Udo Feuerhake and Monika Sester (2025): Estimating the Ride-Sharing Potential for Universities in Hanover: An Integer Programming Approach,  AGILE GIScience Ser., 6, 49, Copernicus More info
    DOI: 10.5194/agile-giss-6-49-2025
    Reviewed Conference Papers
  • Qianqian Zou (2025): 3D mapping with probabilistic uncertainty measures,  Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften, Reihe C, Nr. 969, (identisch mit / identical with: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 417, Hannover 2025) More info
    ISBN: 978-3-7696-5381-6
    ISSN: 0174-1454
    Monographs
  • Sester, M., Neuweiler, I., Broggi, M., Stechern, A., & Martin, T. (2025): ThermoOptiPlan: Optimizing Planning and Operation of Geothermal Systems using innovative prediction tools.,  In EGU General Assembly Conference Abstracts (pp. EGU25-12401). More info
    Conference Papers
  • Sester, M., Winter, S., & Oukhellou, L. (2025): The 2nd ACM SIGSPATIAL Workshop on Sustainable Urban Mobility.,  The SIGSPATIAL Special, 15(1), 16-18.
    Other Contributions
  • Sester, Monika, Breitner, Michael, Schön, Steffen, Feuerhake, Udo, Kudenko, Daniel, Mortazavi, Faezeh Sadat, Bäßmann, Felix, Shkedova, Olga, Wage, Oskar, Baasch, Kai-Niklas, Müller, Henrik, Heumann, Maximilian (2025): Parkplatzsuche mit einem 3D/4D-Modell : Projekt nutzt digitalen Zwilling für optimales Flächenmanagement,  Unimagazin, 2025 Ausgabe 3/4, Hannover : Gottfried Wilhelm Leibniz Universität Hannover
    DOI: https://doi.org/10.15488/20175
    Other Contributions
  • Sester, Monika, Brenner, Claus, Feuerhake, Udo, Golze, Jens, Schimansky, Tim, Wage, Oskar and Xu, Yiming (2025): Zukünftige Mobilität : Dynamische Daten für Prognose, Nachhaltigkeit und Planung,  Unimagazin, 2025 Ausgabe 3/4, Hannover : Gottfried Wilhelm Leibniz Universität Hannover
    DOI: https://doi.org/10.15488/20171
    Other Contributions
  • Shkedova, O., Bäßmann, F. N., Feuerhake, U., & Sester, M. (2025): Introduction to a Voxel-based Urban Digital Twin for Emergency Response Information Systems (ERISs),  Abstr. Int. Cartogr. Assoc., 9, 32
    DOI: https://doi.org/10.5194/ica-abs-9-32-2025
    Conference Papers
  • Vinu Kamalasanan (2025): Control of Walking Behaviour in Shared Spaces Using Augmented Reality,  Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften, Reihe C, Nr. 963, (identisch mit / identical with: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 412, Hannover 2025) More info
    ISBN: 978-3-7696-5375-5
    ISSN: 0174-1454
    Monographs
  • Yang, Y., Xu, Y., Kaiser, T., Cheng, H., Rosenhahn, B., & Yang, M. Y. (2025): Multi-Object Tracking Retrieval with LLaVA-Video: A Training-Free Solution to MOT25-StAG Challenge,  ICCV. arXiv preprint arXiv:2511.03332.
    Other Contributions
  • Yuan, Y., Xia, Y., Cremers, D., & Sester, M. (2025): SparseAlign: A Fully Sparse Framework for Cooperative Object Detection,  Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 22296-22305).
    Reviewed Conference Papers

    • Last Change: 16.02.25 Print

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