| Hi.
My name is Udo Feuerhake. I’m the developer of this page and the presented football analysis software which I’ve created in the time being a PhD candidate at the Institute for Cartography and Geoinformatics. Please find below some additional information about me and related publications. Further information about the football analysis is spread over the rest of this website. Have fun |
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Curriculum vitae
| 2002 | Abitur am Schiller-Gymnasium, Hameln |
| 2002-2003 | Military service |
| 2003-2006 | Apprenticeship IT specialist, BHW/Postbank & Siemens Professional Education |
| 2006-2010 | M.Sc. Computer aided Engineering, Leibniz Universität Hannover |
| 20011-2018 | PhD Computer aided Engineering, Leibniz Universität Hannover |
| 2011 – heute | Research Scientist at Institute for Cartography and Geoinformatics |
Publications related to football analysis
Feuerhake, U. (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
Feuerhake, U. (2018): Erfassung von Trajektorien und Erkennung von Bewegungsmustern. Deutsche Geodätische Kommission: C (Dissertationen): Heft Nr. 840.
Feuerhake, Udo (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 
U. Feuerhake, C. Brenner and M. Sester (2015): GPS-Aided Video Tracking, ISPRS International Journal of Geo-Information, vol. 4 (3), pp. 1317
DOI: 10.3390/ijgi4031317
M. Sester, U. Feuerhake, C. Kuntzsch and S. Zourlidou (2015): Interpretation of Moving Point Trajectories, Photogrammetric Week 15, Stuttgart, Germany
U. Feuerhake and M. Sester (2013): Mining Group Movement Patterns, Proc. 21st ACM SIGSPATIAL GIS Conf, pp. 530 – 533
M. Sester, U. Feuerhake, C. Kuntzsch and L. Zhang (2012): Revealing Underlying Structure and Behaviour from Movement Data, KI – Künstliche Intelligenz, pp. 1-9
U. Feuerhake (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
Other publications
(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
(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
Alexander Schlichting and Udo Feuerhake (2018): Global Vehicle Localization by Sequence Analysis Using LiDAR Features Derived by an Autoencoder, Intelligent Vehicles Symposium Proceedings, 2018 IEEE
Oskar Wage, Udo Feuerhake & Monika Sester (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. Accessible through https://agile-online.org/index.php/conference/proceedings/proceedings-2018
ISBN: 978-3-319-78208-9
C. Kuntzsch and S.Zourlidou and U. Feuerhake (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
U. Jaenen, U. Feuerhake, T. Klinger, D. Muhle, J. Haehner, M. Sester and C. Heipke (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
DOI: 10.5194/isprsannals-I-4-269-2012