Reviewed Journal Articles and Book Chapters
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(2023): Visuelle Kommunikation von Fahrradrouten mittels kartographischer Symbolisierung, KN - Journal of Cartography and Geographic Information
DOI: https://doi.org/10.1007/s42489-022-00130-6 -
(2022): Determination of building flood risk maps from LiDAR mobile mapping data, Computers, Environment and Urban Systems, Volume 93, 2022
DOI: 10.1016/j.compenvurbsys.2022.101759
ISSN: 0198-9715 -
(2021): Mining Topological Dependencies of Recurrent Congestion in Road Networks, ISPRS International Journal of Geo-Information. 2021; 10(4):248
DOI: https://doi.org/10.3390/ijgi10040248 -
(2016): Recognition of Repetitive Movement Patterns—The Case of Football Analysis, ISPRS International Journal of Geo-Information, vol. 5 (11), pp. 208
DOI: 10.3390/ijgi5110208 -
(2015): GPS-Aided Video Tracking, ISPRS International Journal of Geo-Information, vol. 4 (3), pp. 1317 | File |
DOI: 10.3390/ijgi4031317 -
(2012): Revealing Underlying Structure and Behaviour from Movement Data, KI - Künstliche Intelligenz, pp. 1-9
Reviewed Conference Papers
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(2024): Exploring User Semantic Annotation from Trajectories in the Scenario of Shared Locations, AGILE GIScience Ser., 5, 25
DOI: https://doi.org/10.5194/agile-giss-5-25-2024 -
(2023): Voxel-Based Point Cloud Localization for Smart Spaces Management, ISPRS TC I; Volume XLVIII-1/W1-2023, 2023
DOI: doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-325-2023 -
(2023): Smartphone Based Detection of Vehicle Encounters, 16th ACM SIGSPATIAL International Workshop on Computational Transportation Science | File |
DOI: https://doi.org/10.1145/3615895.3628173 -
(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 -
(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 -
(2019): ST-Discovery: Data-Driven Discovery of Structural Dependencies in Urban Road Networks, Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19), Farnoush Banaei-Kashani, Goce Trajcevski, Ralf Hartmut Güting, Lars Kulik, and Shawn Newsam (Eds.). ACM, New York, NY, USA, 488-491
DOI: 10.1145/3347146.3359109 -
(2018): Global Vehicle Localization by Sequence Analysis Using LiDAR Features Derived by an Autoencoder, Intelligent Vehicles Symposium Proceedings, 2018 IEEE | File |
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(2018): Automated Enrichment of Routing Instructions, Mansourian, A., Pilesjö, P., Harrie, L., & von Lammeren, R. (Eds.), 2018. Geospatial Technologies for All: short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science. Lund University 12-15 June 2018, Lund, Sweden. More info
DOI: 10.15488/15587 -
(2018): Identification of Similarities and Prediction of Unknown Features in an Urban Street Network, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 185-192, 2018
DOI: 10.5194/isprs-archives-XLII-4-185-2018 -
(2018): Recognizing Movement Patterns in Automatically Identified Tactical Situations of a Football Match, GIScience 2018 Workshop on Analysis of Movement Data (AMD’18), Melbourne, Australia, 28 August. Accessible through https://somayehdodge.files.wordpress.com/2018/08/amd_2018_paper_6.pdf
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(2012): Prediction of Individual's Movement based on Interesting Places, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. I-2, pp. 31-36 | File |
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(2012): QTrajectories: Improving the Quality of Object Tracking using Self-Organizing Camera Networks, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. I-4, pp. 269-274 | File |
DOI: 10.5194/isprsannals-I-4-269-2012 -
(2011): Finding Interesting Places and Characteristic Patterns in Spatio-Temporal Trajectories, Proceedings of the 8th International Symposium on Location-Based Services | File |
Conference Papers
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(2022): Spatial Analysis of External Influences on Traffic Accidents using Open Data, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
DOI: 10.5194/isprs-archives-XLIII-B4-2022-125-2022 -
(2021): Impact Analysis of Accidents on the Traffic Flow Based on Massive Floating Car Data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 95–102.
DOI: 10.5194/isprs-archives-XLIII-B4-2021-95-2021 -
(2021): Determination of Parking Space and its Concurrent Usage Over Time Using Semantically Segmented Mobile Mapping Data, The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 185-192.
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(2016): Learning the Traffic Regulation Context of Intersections from Speed Profile Data, GIScience 2016 Workshop on Analysis of Movement Data (AMD'16), Montreal, Canada, 27 Sept
Monographs
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(2018): Erfassung von Trajektorien und Erkennung von Bewegungsmustern, Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften, Reihe C, Nr. 840, (identisch mit / identical with Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Universität Hannover ISSN 0174-1454, Nr. 340, Hannover 2018) More info
ISBN: 978-3-7696-5227-7
Other Contributions
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(2023): Schlussbericht USEfUL-XT: Untersuchungs-, Simulations- und Evaluations-Tool für Urbane Logistik [eingereicht], Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek (TIB) More info
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(2022): Waren effizient und nachhaltig geliefert : Die USEfUL Webapplikation, Unimagazin 3/4 (2022), S. 52-53
DOI: https://doi.org/10.15488/13058 -
(2021): USEFUL: Untersuchungs-, Simulations- und Evaluations-Tool für Urbane Logistik : Schlussbericht zum Teilprojekt : Projektlaufzeit: 1. September 2017 bis 31. Dezember 2020 (40 Monate), Gottfried Wilhelm Leibniz Universität Hannover More info
Software and Data
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(2023): Bike Sensor Data Set for Vehicle Encounters: A Comprehensive Open Data Resource, Research Data Repository Leibniz University Hannover More info
DOI: 10.25835/e6iagxo9