Ing.

Lukáš Kratochvíla

FEEC, UAMT

+420 54114 6459
kratochvila@vut.cz

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Ing. Lukáš Kratochvíla

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

    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

  • 2023

    KRATOCHVÍLA, L. Point cloud obstacle detection with the map filtration. Proceedings I of the 29th Conference STUDENT EEICT 2023 General papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2023. p. 455-459. ISBN: 978-80-214-6153-6.
    Detail | WWW

  • 2021

    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

    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

    KRATOCHVÍLA, L. TECHNIQUES FOR AVOIDING MODEL OVERFITTING ON SMALL DATASET. Proceedings I of the 27th Conference STUDENT EEICT 2021. Brno: Vysoké učené Technické, Fakulta elektrotechniky a komunikačních technologií, 2021. p. 451-456. ISBN: 978-80-214-5942-7.
    Detail

    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

  • 2020

    KRATOCHVÍLA, L. COMPUTING PLATFORMS FOR DEEP LEARNING TASK IN COMPUTER VISION. In Proceedings II of the 26th Conference STUDENT EEICT 2020. Brno: Vysoké učené Technické, Fakulta elektrotechniky a komunikačních technologií, 2020. p. 171-175. ISBN: 978-80-214-5868-0.
    Detail

*) Publications are generated once a 24 hours.