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Ing. Dominik Štursa, Ph.D.

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  • dominik.stursa@upce.cz
  • 466 037 124

  • Faculty of Electrical Engineering and Informatics

    Department of Information Technology (60110)

    assistant professor
  • Konzultační hodiny
    Wednesday: 9:00-10:00
    Thursday: 11:00-12:00

    If you would like to arrange a consultation outside of the set dates, please contact me by email.
  • Teaching
  • Publications
  • Projects

Teaching

KAM/NSTVI (2024) - PR CV -
KAM/RSTVI (2024) - - - SE
KIT/BTWA2 (2024) G PR CV -
KIT/BTWA3 (2024) G - - -
KIT/KTWA2 (2024) G - - SE
KIT/KTWA3 (2024) G - - -
KIT/ZNPIA (2024) G - - -
KST/ZNPIA (2024) G PR CV -

Timetable

26. 11. 2024
09:00-11:00CA / SEM406KITBTWA227
11:00-14:00CA / PC103KITBTWA227
27. 11. 2024
10:00-12:00CA / PL404KAMNSTVI3
12:00-14:00CA / PL404KAMNSTVI3
28. 11. 2024
12:00-14:00CA / IT402KSTZNPIA6
29. 11. 2024
15:00-17:00CA / PC102KITKTWA28

Dates

Publications

REJFEK, L. - PIDANIČ, J. - ŠTURSA, D. - NGUYEN, T. - TRAN, P. - NĚMEC, Z. - ZÁLABSKÝ, T. Passage Detection of a Train via a Reference Point. In AETA 2022—Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. Singapur: Springer, 2023. s. 519-528 s. ISBN 978-981-9987-03-0.
DOLEŽEL, P. - PAKOSTA, M. - ROZSÍVALOVÁ, V. - ŠTURSA, D. Automated Dataset Enhancement Using GAN for Assessment of Degree of Degradation around Scribe. In 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) : proceedings. New York: IEEE (Institute of Electrical and Electronics Engineers), 2023. s. 1454-1458 s. ISBN 979-8-3503-1141-9.
KOT, M. - ŠTURSA, D. Linka pro výrobu dvouplášťových katetrů. Praha. Úřad průmyslového vlastnictví 37329,
KOT, M. - ŠTURSA, D. Funkční vzorek experimentálního svařovacího pracoviště. CZ: K2 Machine s.r.o., Univerzita Pardubice.
DOLEŽEL, P. - ŠTURSA, D. FareOn NextGen – Algoritmus pro detekci pohybu osob. 2023,
DOLEŽEL, P. - ŠKRABÁNEK, P. - ŠTURSA, D. - ZANON, B. - ADRIAN, H. - KRYDA, P. Centroid based person detection using pixelwise prediction of the position Journal of Computational Science, 2022, vol. 63, no. 2022, s. nestránkováno. ISSN: 1877-7503.
ROZSÍVALOVÁ, V. - DOLEŽEL, P. - ŠTURSA, D. - ROZSÍVAL, P. Sequence of U-Shaped Convolutional Networks for Assessment of Degree of Delamination Around Scribe International Journal of Computational Intelligence Systems, 2022, vol. 15, no. 1, s. nestránkováno. ISSN: 1875-6891.
ŠTURSA, D. - DOLEŽEL, P. - HONC, D. Grasping Point Detection Using Monocular Camera Image Processing and Knowledge of Center of Gravity. In Artificial Intelligence Trends in Systems : proceedings of 11th Computer science on-line conference 2022, Vol. 2. Cham: Springer Nature Switzerland AG, 2022. s. 531-541 s. ISBN 978-3-031-09075-2.
ŠTURSA, D. - KOPECKÝ, D. - ROLEČEK, J. - DOLEŽEL, P. - BARUQUE ZANON, B. Classification of Polymers Based on the Degree of Their Transparency in SWIR Spectrum. In 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). Cham: Springer Nature Switzerland AG, 2022. s. 371 - 382 s. ISBN 978-3-031-18049-1.
DOLEŽEL, P. - ŠTURSA, D. - KOPECKÝ, D. Suitable ASP U-Net training algorithms for grasping point detection of nontrivial objects. In 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) : proceedings. New York: IEEE (Institute of Electrical and Electronics Engineers), 2022. s. 1586-1591 s. ISBN 978-1-66549-608-7.
DOLEŽEL, P. - ROLEČEK, J. - HONC, D. - ŠTURSA, D. - BARUQUE ZANON, B. Spectral Classification of Microplastics using Neural Networks: Pilot Feasibility Study. In BIOSTEC 2022 : proceedings of the 15th International Joint Conference On Biomedical Engineering Systems And Technologies, Vol 4 : Biosignals. Porto: SciTePress - Science and Technology Publications, 2022. s. 283-289 s. ISBN 978-989-758-552-4.
DOLEŽEL, P. - ŠTURSA, D. - KOPECKÝ, D. - JECHA, J. Memory Efficient Grasping Point Detection of Nontrivial Objects IEEE ACCESS, 2021, vol. 2021, no. 9, s. 82130-82145. ISSN: 2169-3536.
CHOUAI, M. - DOLEŽEL, P. - ŠTURSA, D. - NĚMEC, Z. New End-to-End Strategy Based on DeepLabv3+Semantic Segmentation for Human Head Detection Sensors, 2021, vol. 21, no. 17, s. nestránkováno. ISSN: 1424-8220.
DOLEŽEL, P. - HOLÍK, F. - MERTA, J. - ŠTURSA, D. Optimization of a Depiction Procedure for an Artificial Intelligence-Based Network Protection System Using a Genetic Algorithm Applied Science - Basel, 2021, vol. 11, no. 5, s. nestránkováno. ISSN: 2076-3417.
ŠTURSA, D. - DOLEŽEL, P. - MERTA, J. Airspace Object Detection Above the Guarded Area Using Segmentation Neural Network. In Proceedings of the Future Technologies Conference (FTC) 2021.Volume 2. Cham: Springer Nature Switzerland AG, 2021. s. 283-292 s. ISBN 978-3-030-89879-3.
ŠTURSA, D. - DOLEŽEL, P. - ZANON, B. Medical Catheters Grasping Point Detection with Quality Control. In 16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2021). CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2021. s. 408-418 s. ISBN 978-3-030-87869-6.
DVOŘÁK, M. - DOLEŽEL, P. - ŠTURSA, D. - CHOUAI, M. Guidance of Unmanned Surface Vehicle Fleet Using Genetic Algorithm-Based Approach. In 16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2021). CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2021. s. 187-197 s. ISBN 978-3-030-87869-6.
ŠTURSA, D. - HAVLÍČEK, L. - KUPKA, L. Robotic Sorting Line Model using Coloured Petri Net. In Software Engineering and Algorithms : proceedings of 10th Computer Science On-line Conference 2021, Vol. 1. Cham: Springer Nature Switzerland AG, 2021. s. 709-717 s. ISBN 978-3-030-77441-7.
DOLEŽEL, P. - ŠTURSA, D. - HONC, D. One Step Deep Learning Approach to Grasp Detection in Robotics. In Data Science and Intelligent Systems : proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. neuvedeno: Springer Science and Business Media, 2021. s. 8-17 s. ISBN 978-3-030-90320-6.
ŠTURSA, D. - DOLEŽEL, P. - HONC, D. Multiple Objects Localization Using Image Segmentation with U-Net. In Proceedings of the 2021 23rd International Conference on Process Control, PC 2021. New York: IEEE (Institute of Electrical and Electronics Engineers), 2021. s. 180-185 s. ISBN 978-1-66540-330-6.
ŠKRABÁNEK, P. - DOLEŽEL, P. - NĚMEC, Z. - ŠTURSA, D. Person Detection for an Orthogonally Placed Monocular Camera Journal of Advanced Transportation, 2020, vol. 2020, no. Volume 2020, s. nestránkováno. ISSN: 0197-6729.
ŠTURSA, D. - HONC, D. - DOLEŽEL, P. DEVELOPMENT OF IMAGE PROCESING SYSTEM FOR PERSON DETECTION MM Science Journal, 2020, vol. 2020, no. Říjen 2020, s. 4000-4006. ISSN: 1803-1269.
ŠTURSA, D. - BARUQUE ZANON, B. - DOLEŽEL, P. Novel Approach for Person Detection Based on Image Segmentation Neural Network. In 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). Cham: Springer Nature Switzerland AG, 2020. s. 166-175 s. ISBN 978-3-030-57801-5.
ŠTURSA, D. - DOLEŽEL, P. - HONC, D. Basic urinal flow curves classification with proposed solutions. In Intelligent Systems and Applications : proceedings of the 2020 Intelligent Systems Conference (IntelliSys), Volume 1. Cham: Springer Nature Switzerland AG, 2020. s. 737-746 s. ISBN 978-3-030-55179-7.
DOLEŽEL, P. - ŠTURSA, D. - HONC, D. Rapid 2D Positioning of Multiple Complex Objects for Pick and Place Application Using Convolutional Neural Network. In 24th international conference on system theory, control and computing, ICSTCC 2020 : proceedings. New York: IEEE (Institute of Electrical and Electronics Engineers), 2020. s. 213-217 s. ISBN 978-1-72819-809-5.
DOLEŽEL, P. - ŠTURSA, D. - HONC, D. - MERTA, J. - ROZSÍVALOVÁ, V. - BERAN, L. - HORA, I. Counting Livestock with Image Segmentation Neural Network. In 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). Cham: Springer Nature Switzerland AG, 2020. s. 237-244 s. ISBN 978-3-030-57801-5.
ŠTURSA, D. - HAVLÍČEK, L. - KUPKA, L. - DOLEŽEL, P. IMC Strategy Using Neural Networks for 3D Printer Bed Temperature Control. In Software engineering perspectives in intelligent systems : proceedings of 4th computational methods in systems and software 2020, Vol.1. Cham: Springer Nature Switzerland AG, 2020. s. 979-989 s. ISBN 978-3-030-63321-9.
HOLÍK, F. - DOLEŽEL, P. - MERTA, J. - ŠTURSA, D. Development of Artificial Intelligence Based Module to Industrial Network Protection System. In Intelligent Systems and Applications : proceedings of the 2020 Intelligent Systems Conference (IntelliSys), Volume 3. Cham: Springer Nature Switzerland AG, 2020. s. 229-240 s. ISBN 978-3-030-55189-6.
DOLEŽEL, P. - ŠTURSA, D. - ŠKRABÁNEK, P. On possibilities of human head detection for person flow monitoring system. In Advances in Computational Intelligence, IWANN 2019, PT II. Cham: Springer Nature Switzerland AG, 2019. s. 402-413 s. ISBN 978-3-030-20518-8.
DOLEŽEL, P. - HONC, D. - ŠTURSA, D. Predictive Controller Based on Feedforward Neural Network with Rectified Linear Units. In Computational statistics and mathematical modeling methods in intelligent systems : proceedings of 3rd computational methods in systems and software 2019, Vol. 2. Cham: Springer Nature Switzerland AG, 2019. s. 1-12 s. ISBN 978-3-030-31361-6.
ŠTURSA, D. - DOLEŽEL, P. Comparison of ReLU and linear saturated activation functions in neural network for universal approximation. In Proceedings of the 2019 22nd International Conference on Process Control, PC 2019. New York: IEEE (Institute of Electrical and Electronics Engineers), 2019. s. 146-151 s. ISBN 978-1-72813-758-2.
DOLEŽEL, P. - ŠTURSA, D. - HONC, D. Convolutional Neural Network for Sound Processing - Study of Deployed Application. In 29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019. New York: IEEE (Institute of Electrical and Electronics Engineers), 2019. s. 208-212 s. ISBN 978-1-5386-9323-0.

Projects

Multi-sector and Interdisciplinary Cooperation in Research and Development of Communication, Information and Detection Technologies for Control and Signalling Systems (CIDET)
01.04.24 - 30.11.28
Programme: Programme Johannes Amos Comenius - research
Funded by:
Position on the project: Co-Investigator
An Innovative Intelligent Video Analytics System for 3D Surveillance and Perimeter Protection Monitoring
01.01.24 - 30.06.26
Programme:
Funded by:
Position on the project: Co-Investigator
Study Programme Automation (SPAUT)
01.07.22 - 30.06.24
Programme: National Recovery Plan - SO B
Funded by:
Position on the project: Co-Investigator
Research and development of a modular automated production line based on innovative robotic modules and its application for the production of medical catheters
01.05.21 - 31.05.23
Programme:
Funded by:
Position on the project: Principal Investigator
Research and development of the next generation of FareOn NextGen intelligent system
01.05.21 - 31.05.23
Programme:
Funded by:
Position on the project: Co-Investigator
ARTIFICIAL INTELLIGENCE ENABLED SMART CONTACTLESS TECHNOLOGY DEVELOPMENT FOR SMART FENCING
01.01.20 - 31.12.22
Programme: INTER-ACTION
Funded by:
Position on the project: Co-Investigator
Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)
01.10.18 - 30.06.22
Programme: Operational Programme Research, Development and Education
Funded by:
Position on the project: Co-Investigator

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