Publications – Institute of Cartography and Geoinformatics

Zou, Q., & Sester, M. (2024): 3D Uncertain Implicit Surface Mapping Using GMM and GP, IEEE Robotics and Automation Letters, vol. 9, no. 11, pp. 10559-10566
DOI: doi: 10.1109/LRA.2024.3475873

Reviewed Journal Articles and Book Chapters

Ahlers, Volker; Bienzeisler, Lasse; Breitner, Michael H.; Fehn, Gerrit; Feuerhake, Udo; Friedrich, Bernhard; Galonske, Niklas; Gerstenberger, Tim; Gusig, Lars-Oliver; Heumann, Maximilian; Hoffmann, Stephan; Koschel, Arne; Lelke, Torben; Lüddemann, Nicole Anika; Pump, Richard; Riebe, Eckhard; Sester, Monika; Staritz, Johannes; von Viebahn, Christoph; Wage, Oskar (2023): Schlussbericht USEfUL-XT: Untersuchungs-, Simulations- und Evaluations-Tool für Urbane Logistik [eingereicht], Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek (TIB) More info

Other Contributions

Ahlers, Volker; Bienzeisler, Lasse; Breitner, Michael H.; Fehn, Gerrit; Feuerhake, Udo; Friedrich, Bernhard; Galonske, Niklas; Gerstenberger, Tim; Gusig, Lars-Oliver; Heumann, Maximilian; Hoffmann, Stephan; Koschel, Arne; Lelke, Torben; Lüddemann, Nicole Anika; Pump, Richard; Riebe, Eckhard; Sester, Monika; Staritz, Johannes; von Viebahn, Christoph; Wage, Oskar (2023): Schlussbericht USEfUL-XT: Untersuchungs-, Simulations- und Evaluations-Tool für Urbane Logistik, Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
DOI: https://doi.org/10.2314/KXP:1903983371

Other Contributions

F. S. Mortazavi, O. Shkedova, U. Feuerhake, C. Brenner, and M. Sester (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

Reviewed Conference Papers

Fuest, S., Batista, M., Berghoefer, F. L., Flesser, M., Grandhi, B. S., Spühler, F., Sester, M., Vollrath, M. (2023): I bet you feel safe! Assessing cyclists’ subjective safety by objective scores, Journal of Urban Mobility, 4, 100066
DOI: https://doi.org/10.1016/j.urbmob.2023.100066

Reviewed Journal Articles and Book Chapters

Fuest, S., Sester, M., Griffin, A.L. (2023): Nudging travellers to societally favourable routes: The impact of visual communication and emotional responses on decision making, Transportation Research Interdisciplinary Perspectives, 19, 100829.
DOI: 10.1016/j.trip.2023.100829

Reviewed Journal Articles and Book Chapters

Fuest, S., Shkedova, O., & Sester, M. (2023): Promoting favorable routes through visual communication: a design study for creating ‘social’ route maps for the case of air pollution., International Journal of Cartography, 1-26.
DOI: 10.1080/23729333.2022.2159781

Reviewed Journal Articles and Book Chapters

J. Axmann and C. Brenner (2023): Maximum Consensus based Localization and Protection Level Estimation using Synthetic LiDAR Range Images, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 5917-5924
DOI: 10.1109/ITSC57777.2023.10421977

Reviewed Conference Papers

J. Axmann et al. (2023): LUCOOP: Leibniz University Cooperative Perception and Urban Navigation Dataset, 2023 IEEE Intelligent Vehicles Symposium (IV), Anchorage, AK, USA, 2023, pp. 1-8
DOI: doi: 10.1109/IV55152.2023.10186693

Reviewed Conference Papers

J. Axmann, Y. Zhang and C. Brenner (2023): Maximum Consensus Localization Using an Objective Function Based on Helmert's Point Error, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 2302-2309
DOI: 10.1109/ITSC57777.2023.10422680

Reviewed Conference Papers

Liu, M. Cheng, H.; Chen, L.; Broszio, H.; Li, J.; Zhao, R. et al. (2023): LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
arXiv: http://arxiv.org/pdf/2302.13933v1

Discussion Paper

Malinovskaya, A., Mozharovskyi, P. and Otto, P. (2023): Statistical process monitoring of artificial neural networks., Technometrics, 66(1), pp. 104-117
DOI: doi.org/10.1080/ 00401706.2023.2239886

Reviewed Journal Articles and Book Chapters

Oskar Wage, Maximilian Heumann and Lasse Bienzeisler (2023): Modeling and Calibration of Last-Mile Logistics to Study Smart-City Dynamic Space Management Scenarios, 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility (SuMob '23), November 13, 2023, Hamburg, Germany | File |
DOI: 10.1145/3615899.3627930

Reviewed Conference Papers

Oskar Wage, Udo Feuerhake, Artem Leichter (2023): Parking lot locations and utilization samples in the Hannover Linden-Nord area from LiDAR mobile mapping surveys, LUIS
DOI: https://doi.org/10.25835/4ox4boh6

Software and Data

Peters, T., Brenner, C., & Schindler, K. (2023): Semantic segmentation of mobile mapping point clouds via multi-view label transfer, ISPRS Journal of Photogrammetry and Remote Sensing, 202, 30-39.

Reviewed Journal Articles and Book Chapters

Sester, M., Winter, S., Millonig, A., Pereira, F. (Hg.) (2023): Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility. SuMob '23: 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility. Hamburg Germany, 13.11.2023., ACM, New York, NY, USA.

Editorial Board

Stefan Fuest, Jens Golze, Oskar Wage, Udo Feuerhake, Sharon Dornbusch, Monika Sester (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 Description: Abstract With the increasing promotion of sustainable forms of mobility in the context of the traffic policies, bicycles represent an environmentally friendly alternative to motorized private transport This especially accounts for coping with inner-city routes. However, in contrast to car drivers, the perceived riding comfort and safety of cyclists strongly depends on route characteristics, such as surface conditions or traffic infrastructure. However, currently available bicycle navigation systems hardly consider these factors relevant for the route choice of cyclists, and the visualization is often limited to a simple highlighting of the recommended route. Therefore, this article investigates the appropriateness of different cartographic representations of bicycle routes for the visual communication of route characteristics, such as type of terrain, terrain roughness, terrain gradient, and interruptions. A user survey is conducted to assess the effectiveness, attractiveness, appropriateness, and dispensability of a legend of the various display options for the different route features. The results of the survey indicate that many of the proposed visualization variants are appropriate for the visual communication of bicycle routes. This concerns in particular color representations as well as representations using symbols. However, with respect to the bicycle route features tested, the most appropriate representation heavily depends on the information being communicated. The findings of this study should contribute to the development of route visualizations that are specifically tailored to the needs of cyclists and thus support developers of bicycle navigation systems in making design decisions. Zusammenfassung Mit zunehmender Förderung nachhaltiger Mobilitätsformen im Rahmen der Verkehrswende stellt das Fahrrad eine umweltfreundliche Alternative zum motorisierten Individualverkehr dar - insbesondere zur Bewältigung innerstädtischer Wege. Im Gegensatz zu Autofahrenden hängt der empfundene Fahrkomfort und das Sicherheitsempfinden von Radfahrenden jedoch stark von Routenmerkmalen wie der Oberflächenbeschaffenheit oder der Verkehrsinfrastruktur ab. Aktuell verfügbare Systeme zur Fahrradnavigation berücksichtigen diese für die Routenwahl von Radfahrenden relevanten Faktoren jedoch kaum und die Visualisierung beschränkt sich vielfach auf eine einfache Hervorhebung der empfohlenen Route. In dieser Arbeit wird daher untersucht, inwieweit sich verschiedene kartographische Darstellungsvarianten für Fahrradrouten zur visuellen Kommunikation der Routenmerkmale Art des Untergrunds, Untergrundrauigkeit, Geländeneigung und Fahrtunterbrechungen, als angemessen erweisen. Im Rahmen einer Nutzerbefragung wird die Effektivität, Attraktivität, Eignung und Entbehrlichkeit einer Legende der verschiedenen Darstellungsvarianten für die unterschiedlichen Routenmerkmale überprüft. Die Ergebnisse der Umfrage zeigen auf, dass viele der vorgeschlagenen Visualisierungsvarianten angemessen für die visuelle Kommunikation von Fahrradrouten sind. Dies betrifft insbesondere Farbdarstellungen sowie Darstellungen mit Symbolen oder Signaturen. Hinsichtlich der getesteten Fahrradroutenmerkmale hängt die angemessenste Darstellung jedoch stark von der zu kommunizierenden Information ab. Die Erkenntnisse dieser Studie sollen zur Entwicklung von speziell auf die Bedürfnisse der Radfahrenden zugeschnittenen Routenvisualisierungen beitragen und somit Entwicklern von Fahrradnavigationssystemen bei Designentscheidungen unterstützen.

Reviewed Journal Articles and Book Chapters

Stefania Zourlidou (2023): Traffic Regulation Recognition from GPS Data, München 2023, ISBN 978-3-7696-5310-6, 194 S. (identisch mit / identical with: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, ISSN 0174-1454, Nr. 384, Hannover 2023) | File |
ISBN: 978-3-7696-5310-6

Monographs

Teusch, J.; Gremmel, J. N.; Koetsier, C.; Johora, F. T.; Sester, M.; Woisetschläger, D. M.; Muller, J. P. (2023): A Systematic Literature Review on Machine Learning in Shared Mobility, IEEE Open Journal of Intelligent Transportation Systems 4, S. 870–899.
DOI: doi: 10.1109/OJITS.2023.3334393

Reviewed Journal Articles and Book Chapters

Tim P. J. Schimansky, Oskar Wage, Jens Golze, Udo Feuerhake (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

Software and Data

Publications of the Institute of Cartography and Geoinformatics