Transport systems development centre

Czech title:Centrum pro rozvoj dopravních systémů
Reseach leader:Zemčík Pavel
Team leaders:Bařina David, Fülöp Tibor (FIT VUT), Korček Pavol, Láník Aleš, Přibyl Jaroslav
Team members:Husák Jiří (FIT VUT), Kajan Rudolf, Kobrtek Jozef, Pípa Martin (), Zachariáš Michal
Agency:Technology Agency of the Czech Republic
Code:TE01020155
Start:2012-04-01
End:2018-03-31
Keywords:Transport, transport systems, telematics, data collection, modeling, analysis of traffic data, traffic simulation, traffic management, intelligent transport systems, mobility monitoring, mobility management, statistical calculations, transport economics
Annotation:
The centre for development of transport and traffic systems (Centrum pro ROzvoj DOpravních Systémů) is based on the long-term partnership between research and private companies determining the direction of intelligent mobility development in the Czech Republic. We have decided in common to face the challenge of continuous search for balance between the need of movement of modern society and negative impacts of the mobility.

Products

2015VehicleCluster, software, 2015
Authors: Sochor Jakub, Herout Adam
2014AR road traffic, software, 2014
Authors: Szentandrási István, Herout Adam
 Embedded image foreground detector, specimen, 2014
Authors: Musil Martin, Musil Petr, Koplík Karel, Zemčík Pavel

Publications

2017SOCHOR Jakub, ŠPAŇHEL Jakub and HEROUT Adam. BoxCars: 3D Boxes for Improved Fine-Grained Vehicle Recognition. The Fourth Workshop on Fine-Grained Visual Categorization (CVPR 2017). Honolulu, HI: IEEE Computer Society, 2017.
 ŠPAŇHEL Jakub, SOCHOR Jakub, JURÁNEK Roman, HEROUT Adam, MARŠÍK Lukáš and ZEMČÍK Pavel. Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data. In: International Workshop on Traffic and Street Surveillance for Safety and Security (AVSS 2017). Lecce: IEEE Computer Society, 2017, pp. 1-6. ISBN 978-1-5386-2939-0.
2016SOCHOR Jakub, HEROUT Adam and HAVEL Jiří. BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas: IEEE Computer Society, 2016, pp. 3006-3015. ISBN 978-1-4673-8851-1. ISSN 1063-6919.
 ZAPLETAL Dominik and HEROUT Adam. Vehicle Re-Identification for Automatic Video Traffic Surveillance. In: International Workshop on Automatic Traffic Surveillance (CVPR 2016). Las Vegas: IEEE Computer Society, 2016, pp. 1-7. ISBN 978-0-7695-4989-7.
2015BAŘINA David and ZEMČÍK Pavel. Vectorization and Parallelization of 2-D Wavelet Lifting. Journal of Real-Time Image Processing. 2015, vol. 9999, no. 9999, pp. 1-13. ISSN 1861-8200.
 SOCHOR Jakub and HEROUT Adam. Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance. In: Digital Image Computing: Techniques and Applications (DICTA), 2015 International Conference on. Adelaide: Australian Pattern Recognition Society, 2015, pp. 1-8. ISBN 978-1-4673-6795-0.
2013BAŘINA David and ZEMČÍK Pavel. Minimum Memory Vectorisation of Wavelet Lifting. In: Advanced Concepts for Intelligent Vision Systems (ACIVS). Poznan: Springer London, 2013, pp. 91-101. ISBN 978-3-319-02894-1.
 BAŘINA David and ZEMČÍK Pavel. Wavelet Lifting on Application Specific Vector Processor. In: GraphiCon'2013. Vladivostok: GraphiCon Scientific Society, 2013, pp. 83-86. ISBN 978-5-8044-1402-4.
 HORVÁTH Zsolt, HEROUT Adam, SZENTANDRÁSI István and ZACHARIÁŠ Michal. Design and Detection of Local Geometric Features for Deformable Marker Fields. In: Proceedings of 29th Spring conference on Computer Graphics. Bratislava: Comenius University in Bratislava, 2013, pp. 85-92. ISBN 978-80-223-3377-1.
 KORČEK Pavol, SEKANINA Lukáš and FUČÍK Otto. Advanced Approach to Calibration of Traffic Microsimulation Models using Travel Times. Journal of Cellular Automata. Philadelphia: Old City Publishing, Inc., 2013, vol. 8, no. 6, pp. 457-467. ISSN 1557-5969.
 VRÁBELOVÁ Pavla, BAŘINA David, ŠKODA Petr, VÁŽNÝ Jaroslav and ZENDULKA Jaroslav. Classification of Spectra of Emission-line Stars Using Feature Extraction Based on Wavelet Transform. In: Proceedings of 23rd Annual Astronomical Data Analysis Software and Systems (ADASS) Conference. San Francisco: Astronomical Society of the Pacific, 2013, pp. 177-180. ISBN 978-1-58381-854-1.
 VRÁBELOVÁ Pavla, BAŘINA David, ŠKODA Petr, ZENDULKA Jaroslav and VÁŽNÝ Jaroslav. Classification of Be Stars Using Feature Extraction Based on Discrete Wavelet Transform. In: Proceedings of conferences Datakon and Znalosti 2013. Ostrava: VŠB-Technical University of Ostrava, 2013, pp. 95-102. ISBN 978-80-248-3189-3.

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