Ing.

Tomáš Zemčík

FEEC, UAMT – Researcher

+420 54114 6459
zemcikt@vut.cz

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Ing. Tomáš Zemčík

Publications

  • 2024

    ZEMČÍK, T.; KRATOCHVÍLA, L. Mobile robot perception system in ROS 2 on embedded computing platform. In 18th IFAC Conference on Programmable Devices and Embedded Systems – PDeS 2024. IFAC-PapersOnLine (ELSEVIER). Elsevier, 2024. p. 305-310. ISSN: 2405-8963.
    Detail | WWW | Full text in the Digital Library

    DUMA, Z.; ZEMČÍK, T.; BILÍK, Š.; SIHVONEN, T.; HONEC, P.; REINIKAINEN, S.; HORÁK, K. Varroa destructor detection on honey bees using hyperspectral imagery. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, vol. 224, no. září 2024, ISSN: 1872-7107.
    Detail | WWW

    BILÍK, Š.; ZEMČÍK, T.; KRATOCHVÍLA, L.; ŘIČÁNEK, D.; RICHTER, M.; ZAMBANINI, S.; HORÁK, K. Machine learning and computer vision techniques in continuous beehive monitoring applications: A survey. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, vol. 217, no. únor 2024, p. 1-18. ISSN: 1872-7107.
    Detail | WWW

  • 2022

    ZEMČÍK, T.; HORÁK, K. On Bayer demosaicing impact on image sharpness in lens quality assessment. In PROCEEDINGS II OF THE 28TH STUDENT EEICT 2022 Selected Papers. 1. Brno: Brno University of Technology, Faculty of Electronic Engineering and Communication, 2022. p. 291-296. ISBN: 978-80-214-6030-0.
    Detail | WWW

  • 2021

    BILÍK, Š.; KRATOCHVÍLA, L.; LIGOCKI, A.; BOŠTÍK, O.; ZEMČÍK, T.; HÝBL, M.; HORÁK, K.; ŽALUD, L. Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques. SENSORS, 2021, vol. 21, no. 8, p. 2764-2780. ISSN: 1424-8220.
    Detail | WWW | Full text in the Digital Library

    BOŠTÍK, O.; HORÁK, K.; KRATOCHVÍLA, L.; ZEMČÍK, T.; BILÍK, Š. Semi-supervised deep learning approach to break common CAPTCHAs. NEURAL COMPUTING & APPLICATIONS, 2021, vol. 33, no. 20, p. 13333-13343. ISSN: 0941-0643.
    Detail | WWW | Full text in the Digital Library

    ZEMČÍK, T.; KRATOCHVÍLA, L.; BILÍK, Š.; BOŠTÍK, O.; ZEMČÍK, P.; HORÁK, K. Performance Evaluation of CNN Based Pedestrian and Cyclist Detectors On Degraded Images. International Journal of Image Processing, 2021, vol. 15, no. 1, p. 1-13. ISSN: 1985-2304.
    Detail | WWW | Full text in the Digital Library

    ZEMČÍK, T. Pedestrian Detector Domain Shift Robustness Evaluation, and Domain Shift Error Mitigation Proposal. In Proceedings II of the 27th student EEICT selected papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2021. p. 181-187. ISBN: 978-80-214-5943-4.
    Detail | WWW

  • 2020

    ZEMČÍK, T. Overview of Approaches to Multisensor Fusion as used in ADAS and AV. In Proceedings I of the 26th Student EEICT 2020; General Papers. Brno: Vysoké učené Technické, Fakulta elektrotechniky a komunikačních technologií, 2020. p. 387-391. ISBN: 978-80-214-5867-3.
    Detail | WWW

*) Publications are generated once a 24 hours.