Publications

• 2024

  RAICHL, P.; JANOUŠEK, J.; MARCOŇ, P. FollowThePathNet: UAVs Use Neural Networks to Follow Paths in GPS-Denied Environments. In 2024 International Conference on Unmanned Aircraft Systems. 2024 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2024. p. 92-98. ISBN: 979-8-3503-5788-2. ISSN: 2575-7296.
  Detail | WWW

  RAICHL, P.; MARCOŇ, P.; JANOUŠEK, J. Obstacle Avoidance in UAVs: Using a Bug-Inspired Algorithm and Neural Network-Based RGB Camera Collision Prediction. Proceedings I of the 30th Conference STUDENT EEICT 2024. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2024. p. 327-331. ISBN: 978-80-214-6231-1.
  Detail | WWW

• 2023

  MARCOŇ, P.; RAICHL, P.; JANOUŠEK, J. Overview of Methods for Collision Avoidance for Unmanned Aerial Vehicles. In 2023 Photonics & Electromagnetics Research Symposium (PIERS). 2023 Photonics & Electromagnetics Research Symposium (PIERS). Institute of Electrical and Electronics Engineers Inc., 2023. p. 1309-1315. ISBN: 979-8-3503-1284-3. ISSN: 2831-5804.
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  JANOUŠEK, J.; MARCOŇ, P.; DOHNAL, P.; JAMBOR, V.; SYNKOVÁ, H.; RAICHL, P. Predicting the Optimum Corn Harvest Time via the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging. Remote Sensing, 2023, vol. 15, no. 12, p. 1-19. ISSN: 2072-4292.
  Detail | WWW | Full text in the Digital Library

  CIHLÁŘ, M.; RAICHL, P.; GÁBRLÍK, P.; JANOUŠEK, J.; MARCOŇ, P.; ŽALUD, L.; LÁZNA, T.; MICHENKA, K.; NOHEL, J.; ŠTEFEK, A. Simulation of Autonomous Robotic System for Intelligence and Reconnaissance Operations. In Modelling and Simulation for Autonomous Systems. Lecture Notes in Computer Science. MESAS 2022. Springer, Cham, 2023. p. 64-73. ISBN: 978-3-031-31268-7. ISSN: 0302-9743.
  Detail | WWW

• 2022

  RAICHL, P.; MARCOŇ, P. Testing of UWB Sensors For Use in Multi-robot Relative Localization Systems and Design of UWB Plugin for ROS/Gazebo Simulation Environment. In PROCEEDINGS I OF THE 28TH STUDENT EEICT 2022 GENERAL PAPERS. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. p. 368-372. ISBN: 978-80-214-6029-4.
  Detail | WWW

  RAICHL, P.; PINTÉR, M. Positioning Without Using GNSS. In Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers. 1. Brno: Brno University of technology, 2022. p. 31-34. ISBN: 978-80-214-6030-0.
  Detail | WWW

  MARCOŇ, P.; ŠIRŮČKOVÁ, A.; JANOUŠEK, J.; POKORNÝ, J.; RAICHL, P.; HEJTMÁNEK, T. Using LoRa Modules to Measure Physical Quantities Describing Air Quality and Their Long-distance Transmission. In 2022 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2022. p. 1608-1612. ISBN: 978-1-7281-7247-7.
  Detail | WWW

• 2021

  JANOUŠEK, J.; JAMBOR, V.; MARCOŇ, P.; RAICHL, P.; SYNKOVÁ, H.; DOHNAL, P. Využitie multispektrálnej kamery na získanie korelácie medzi vegetačnými indexmi a chemickou analýzou kukuřice. Slovenský chov. Slovenský chov, 2021. p. 33-35. ISSN: 1336-9121.
  Detail | WWW

  MARCOŇ, P.; JANOUŠEK, J.; POKORNÝ, J.; NOVOTNÝ, J.; VLACHOVÁ HUTOVÁ, E.; ŠIRŮČKOVÁ, A.; ČÁP, M.; LÁZNIČKOVÁ, J.; KADLEC, R.; RAICHL, P.; DOHNAL, P.; STEINBAUER, M.; GESCHEIDTOVÁ, E. A System Using Artificial Intelligence to Detect and Scare Bird Flocks in the Protection of Ripening Fruit. SENSORS, 2021, vol. 21, no. 12, p. 1-16. ISSN: 1424-8220.
  Detail | WWW | Full text in the Digital Library

  RAICHL, P. Simulating a UAV Swarm - Overview and Proposal. In EEEICT_2021. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021. p. 0-5. ISBN: 978-80-214-5942-7.
  Detail

  JAMBOR, V.; JANOUŠEK, J.; MARCOŇ, P.; DOHNAL, P.; RAICHL, P.; SYNKOVÁ, H.; LOUČKA, R. Odhad doby sklizně kukuřice s využitím multispektrální kamery. Úroda, 2021, no. 69, p. 419-425. ISSN: 0139-6013.
  Detail | WWW

  RAICHL, P.; MARCOŇ, P. An IoT-Based Datalogger of Environmental Values. 13th International Conference on Measurement. IEEE, 2021. p. 0-4. ISBN: 978-80-972629-5-2.
  Detail | WWW

  JANOUŠEK, J.; MARCOŇ, P.; KLOUDA, J.; POKORNÝ, J.; RAICHL, P.; ŠIRŮČKOVÁ, A. Deep Neural Network for Precision Landing and Variable Flight Planning of Autonomous UAV. In 2021 Photonics & Electromagnetics Research Symposium (PIERS). Progress In Electromagnetics. NEW YORK: IEEE, 2021. p. 2243-2247. ISBN: 978-1-7281-7247-7. ISSN: 1559-9450.
  Detail | WWW

  JAMBOR, V.; JANOUŠEK, J.; MARCOŇ, P.; DOHNAL, P.; RAICHL, P.; SYNKOVÁ, H.; LOUČKA, R. Predikce výživných hodnot kukuřice přímo na poli. Úroda, 2021, no. 69, p. 647-652. ISSN: 0139-6013.
  Detail | WWW

*) Publications are generated once a 24 hours.