Publikationen des Instituts für Kartographie und Geoinformatik

Hao Cheng, Stefania Zourlidou, Monika Sester (2020): Traffic Control Recognition with Speed-Profiles: A Deep Learning Approach,  ISPRS International Journal of Geo-Information
DOI: https://doi.org/10.3390/ijgi9110652

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Hao Cheng, Wenbo Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn (2020): Exploring Dynamic Context for Multi-path Trajectory Prediction,  Accepted for publication in ICRA 2021 | Datei | Weitere Informationen
arXiv: arXiv:2010.16267v3

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Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester and Bodo Rosenhahn (2020): MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic,  2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Weitere Informationen
DOI: 10.1109/ITSC45102.2020.9294296
arXiv: 2002.05966

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J. Golze, S. Zourlidou and M. Sester (2020): Traffic Regulator Detection using GPS Trajectories,  KN - Journal of Cartography and Geographic Information, 16(1):321.
DOI: https://doi.org/10.1007/s42489-020-00048-x

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Johora, Fatema T Cheng, Hao Müller, Jörg P Sester, Monika (2020): An Agent-Based Model for Trajectory Modelling in Shared Spaces: A Combination of Expert-Based and Deep Learning Approaches,  Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems Weitere Informationen

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Kazimi, B., Thiemann, F., & Sester, M. (2020): Detection of Terrain Structures in Airborne Laser Scanning Data using Deep Learning,  ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 5(2).
DOI: 10.5194/isprs-annals-V-2-2020-493-2020

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Koetsier, C., Peters, T., & Sester, M. (2020): Learning the 3D Pose of Vehicles from 2D Vehicle Patches,  The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 683-688.
DOI: 10.5194/isprs-archives-XLIII-B2-2020-683-2020

Konferenzbeiträge

Lasse Bienzeisler, Torben Lelke, Oskar Wage, Falco Thiel, Bernhard Friedrich (2020): Development of an Agent-Based Transport Model for the City of Hanover Using Empirical Mobility Data and Data Fusion,  Transportation Research Procedia, Volume 47, 2020, Pages 99-106
DOI: https://doi.org/10.1016/j.trpro.2020.03.073
ISSN: 2352-1465

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Leichter, A., Werner, M., & Sester, M. (2020): Feature-extraction from all-scale Neighborhoods with Applications to Semantic Segmentation fo Point Clouds,  The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 263-270.
DOI: 10.5194/isprs-archives-XLIII-B2-2020-263-2020

Konferenzbeiträge

Nicolas Tempelmeier, Anzumana Sander, Udo Feuerhake, Martin Löhdefink, and Elena Demidova (2020): TA-Dash: An Interactive Dashboard for Spatial-Temporal Traffic Analytics,  In Proceedings of the 28th International Conference on Advances in Geographic Information Systems (SIGSPATIAL '20). Association for Computing Machinery, New York, NY, USA, 409–412.
DOI: https://doi.org/10.1145/3397536.3422344

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O. Wage, U. Feuerhake, C. Koetsier, A. Ponick, N. Schild, T. Beening, and S. Dare (2020): Ride Vibrations: Towards Comfort-Based Bicycle Navigation,  Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 367–373
DOI: https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-367-2020

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Otto, P. (2020): Parallelized Monitoring of Dependent Spatiotemporal Processes,  Frontiers of Statistical Quality Control 13. Weitere Informationen

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Peters T. und Brenner C. (2020): Conditional Adversarial Networks for Multimodal Photo-Realistic Point Cloud Rendering,  PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science
DOI: 10.1007/s41064-020-00114-z

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Peters, T., Brenner, C., & Song, M. (2020): Improving Deep Learning based Semantic Segmentation with Multi View Outlier Correction,  The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 711-716.
DOI: 10.5194/isprs-archives-XLIII-B2-2020-711-2020

Konferenzbeiträge

Robert Garthoff, Philipp Otto (2020): Spatiotemporal procedures for the statistical surveillance of spatial autoregressive models with heavy tails,  Communications in Statistics - Simulation and Computation (online first)
DOI: 10.1080/03610918.2020.1779294

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Schachtschneider, J., & Brenner, C. (2020): Creating multi-temporal Maps of Urban Environments for improved Localization of Autonomous Vehicles,  The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 317-323.
DOI: 10.5194/isprs-archives-XLIII-B2-2020-317-2020

Konferenzbeiträge

Sester, M. (2020): Analysis of mobility data–A focus on Mobile Mapping Systems,  Geo-spatial Information Science, 23(1), 68-74.

Begutachtete Zeitschriftenartikel und Buchkapitel

Sester, M. (2020): Cartographic generalization,  Journal of Spatial Information Science, 2020(21), 5-11.

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Viktor Rözer, Aaron Peche, Simon Berkhahn, Yu Feng, Lothar Fuchs, Thomas Graf, Uwe Haberlandt, Heidi Kreibich, Robert Sämann, Monika Sester, Bora Shehu, Julian Wahl, Insa Neuweiler (2020): Impact-based early warning for pluvial floods,  EGU General Assembly Conference Abstracts (p. 10507)

sonstige Beiträge

Vinu Kamalasanan, Monika Sester (2020): Behaviour control with augmented reality systems for shared spaces,  The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 591-598.
DOI: 10.5194/isprs-archives-XLIII-B4-2020-591-2020

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