Publications

S. Zourlidou, M. Sester, and S. Hu. Recognition of intersection traffic regulations from crowdsourced data. ISPRS International Journal of Geo-Information, 12(1), 2023.

S. Zourlidou, J. Golze, and M. Sester. Traffic regulation recognition using crowd-sensed gps and map data: a hybrid approach. AGILE: GIScience Series, 3:22, 2022.

S. Zourlidou, J. Golze, and M. Sester. [Dataset] traffic regulator ground-truth information of the city of Hannover, Germany, 2022.

S. Zourlidou, J. Golze, and M. Sester. [Dataset] Traffic regulator ground-truth information for the Chicago trajectory dataset, 2022.

S. Zourlidou, J. Golze, and M. Sester. [Dataset] GPS trajectory dataset of the region of Hannover, Germany, 2022.

S. Zourlidou, J. Golze, and M. Sester. [Dataset] gps trajectory dataset and traffic regulation information of the region of Edessa, Greece, 2022.

H. Cheng, H. Lei, S. Zourlidou, and M. Sester. Traffic control recognition with an attention mechanism using speed-profile and satellite imagery data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B4-2022:287–293, 2022.

C. Wang, S. Zourlidou, J. Golze, and M. Sester. Trajectory analysis at intersections for traffic rule identification. Geo-spatial Information Science, 24(1):75–84, 2021, https://doi.org/10.1080/10095020.2020.1843374.

S. Zourlidou, J. Golze, and M. Sester. [Dataset] speed profiles and GPS trajectories for traffic rule recognition (6 junctions, Hannover, Germany), 2020.

J. Golze, S. Zourlidou, and M. Sester. Traffic regulator detection using GPS trajectories. KN - Journal of Cartography and Geographic Information, 2020.

H. Cheng, S. Zourlidou, and M. Sester. Traffic control recognition with speed-profiles: A deep learning approach. ISPRS International Journal of Geo-Information, 9(11), 2020.

S. Zourlidou and M. Sester. Traffic regulator detection and identification from crowdsourced data–a systematic literature review. ISPRS International Journal of Geo-Information, 8(11), 2019.

S. Zourlidou, C. Fischer, and M. Sester. Classification of street junctions according to traffic regulators. In Kyriakidis, P., Hadjimitsis, D., Skarlatos, D. &

Mansourian, A. (Eds.), 2019. Accepted Short Papers and Posters from the 22nd AGILE Conference on Geo–information Science. Cyprus University of Technology 17–20 June 2019, Limassol, Cyprus., June 2019.

M. Udahl, S. Zourlidou, and M. Sester. A spatiotemporal approach for detecting street intersections. In In: Kyriakidis, P., Hadjimitsis, D., Skarlatos, D. & Mansourian, A. (Eds.), 2019. Accepted Short Papers and Posters from the 22nd

AGILE Conference on Geo–information Science. Cyprus University of Technology 17–20 June 2019, Limassol, Cyprus., June 2019.

S. Zourlidou and M. Sester. Intersection detection based on qualitative spatial reasoning on stopping point clusters. In 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016, 12–19 July 2016, Prague, Czech Republic. G¨ottingen: Copernicus GmbH, 2016.

C. Kuntzsch, S. Zourlidou, and U. Feuerhake. Learning the traffic regulation context of intersections from speed profile data. In In: Accepted Short Papers from the GIScience 2016 Workshop on Analysis of Movement Data (AMD’16), Montreal, Canada, 27 Sept, 2016.

S. Zourlidou and M. Sester. Towards regulation-aware navigation: a behavior-based mapping approach. In Accepted Short Papers from the 18th AGILE Conference on Geographic Information Science, Lisbon, Portugal., 2015.

S. Zourlidou and M. Sester. Road regulation sensing with in-vehicle sensors. In Ivanovic A. Comber, B. Bucher and S. (Eds.): Proceedings of the 3rd AGILE Phd School, Champs sur Marne, France, 15–17 September 2015, published at http://ceur-ws.org, 2015.

M. Sester, U. Feuerhake, C. Kuntsch, and S. Zourlidou. Interpretation of moving point trajectories. In Photogrammetric Week 15, Stuttgart, Germany., 2015.

S. Zourlidou, G. Stylios, and G. Giakas. Processing gait analysis data: A software system for estimating muscle variations. In 3rd European medical and biological engineering and IFMBE conference (EMBEC’05), 2005.

F. Perez-Cruz, S. Zourlidou, and Z. Ghahramani. Dirichlet prior for Bayesian GARCH. In Workshop on Machine Learning in Finance at NIPS’05, 2005

S. Zourlidou, G. Stylios, and G. Giakas. A software system for the estimation of the quadricepts variations using a gait analyis system. In 4th European Symposium in Biomedical Engineering, 2004.