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An Application of Computer Vision Systems to Solve the Problem of Unmanned Aerial Vehicle Control

References 1. Schmid, K., etc. (2012) View Planning for Multi-View Stereo 3D Reconstruction Using an Autonomous Multicopter. Journal of Intelligent & Robotic Systems, 65(1-4), 309-323. 2. Barbasov, V.K., etc. (2012) Multirotor unmanned aerial vehicles and their capabilities for using in the field of earth remote sensing. Ingenernye Izyskaniya, 10, 38-42. (In Russian) 3. Zinchenko, O.N. (2012) Unmanned aerial vehicles: the use of aerial photography in order to map, Part 1. Мoscow: Racurs. 12 p. (In Russian

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The use of unmanned aerial vehicles (drones) to determine the shoreline of natural watercourses

possibility of using images obtained from the uas in cadastral works. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 p. 909–915. L aliberte A.S., R ango A. 2009. Texture and scale in object-based analysis of subdecimeter resolution unmanned aerial vehicle (UAV) imagery. IEEE Transactions on Geoscience and Remote Sensing. Vol. 47 p. 761–770. M ączyńska A., K wartnik -P ruc A. 2016. Problematyka zróżnicowania postępowań administracyjnych dotyczących ustalenia linii brzegu [The problem of

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Computationaly Simple Obstacle Avoidance Control Law for Small Unmanned Aerial Vehicles

References 1. Bresciani T. (2008), Modelling, Identification and Control of a Quadrotor Helicopter, Master’s thesis, Lund University, Sweden. 2. Cieśluk J., Gosiewski Z. (2012), Vision sky detection system used to obstacle avoidance by unmanned aerial, Mechanics in Aviation XV, 2012, pp. 509-523. 3. Cieśluk J., Gosiewski Z. (2013), A Stereovision System for Real Time Obstacle Avoidance by Unmanned Aerial Vehicle, Solid State Phenomena, Vol 198, pp. 159-164. 4. Cieśluk J., Gosiewski Z. (2014

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The Image Brightness Control System Dedicated For The Autonomous Unmanned Aerial Vehicle

8. Bibliografia [1] J. Ciesluk, Z. Gosiewski, ”Wizyjny system detekcji nieba wykorzystany do zadania omijania przeszkód przez bezzałogowe aparaty latające”, Mechanika w Lotnictwie XV, 2012 [2] Z. Gosiewski, J Cieśluk, L. Ambroziak: Vision-based obstacle avoidance for unmanned aerial vehicles, 4 th International Congress on Image and Signal Processing, IEEE Indexed, 2011, pp. 2020-2025 [3] G.C.H.E. de Croon, B.D.W. Remes, C. De Wagter, and R. Ruijsink, “Sky Segmentation Approach to Obstacle Avoidance”, Aerospace Conference, 2011 IEEE, pp. 1

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Comparative Aspects Regarding The Regulation Of Unmanned Aerial Vehicles

:// [6] [7] Arrêté du 11 avril 2012 relatif à l’utilisation de l’espace aérien par les aéronefs qui circulent sans personne à bord [8] “ZDv 19/1 - Joint Service Regulation 19/1 - Airworthiness Verification And Certification Regulations For Bundeswehr Aircraft And Aeronautical Equipment”; “LTF 1550-001 - Airworthiness Requirement 1550-001: Special Regulations for Airworthiness Verification of Unmanned Aerial Vehicles in the Bundeswehr”. [9] http

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Methods for Determining the Take-off Speed of Launchers for Unmanned Aerial Vehicles

., Determination of the functional properties of a WPA-1 pneumatic launcher with a take-off pneumatic system , ML-XV Mechanics in Aviation, Warsaw 2012. [5] Jastrzębski, G., Research procedure PB-01/LBBSP. Determination of an unmanned aerial vehicle take-off launcher carriage speed , Air Force Institute of Technology, Warsaw 2014. [6] Perkowski, W., Pneumatic launcher for unmanned aerial vehicles , N27 − Riga, Transport and Engineering. Transport. Aviation Transport, RTU, pp. 181-187, Riga 2008.

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The Prospect for the Launche of a Mini Unmanned Aerial Vehicle from an Unmanned Surface Vehicle

latającego PR-3 ‘Gacek’ [Technical documentation of unmanned aerial vehicle — available in Polish ]. [9] [access 08.09.2017]. [10] [access 20.08.2017]. [11] [access 18.08.2017]. [12] [access 18.08.2017]. [13] http

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Efficiency of Training Unmanned Aerial Vehicles Personnel


An important field in the process of unmanned aerial vehicles (UAV) operation is the system of training operators and technicians. The article presents methods for measuring and evaluating the effectiveness of training systems and their suitability for use in assessing the effectiveness of training of unmanned aircraft personnel. Based on the results of the research carried out in the actual training system, a model for adapting the program and organizing training of airline personnel to measure and evaluate training outcomes was developed.

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., GNSS Based Attitude for Small Unmanned Aerial Vehicle, PhD Thesis, University of Cantenbury, 2011. [26] Sabatini R., Kaharkar A., Shaid T., Bartel C., Jia H., Zammit-Mangion D., Vision-based Sensors and Integrated Systems for Unmanned Aerial Vehicles Navigation and Guidance, Proceedings of the SPIE Conference Photonics Europe 2012, Brussels 2012. [27] Sabatini R., Kaharkar A., Shaid T., Bartel C., Jia H., Zammit-Mangion D., Low-cost Vision Sensors and Multisensor Systems for Small to Medium Size UAV Navigation and Guidance, Proceedings

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Low-Cost Navigation and Guidance Systems for Unmanned Aerial Vehicles — Part 1: Vision-Based and Integrated Sensors

., Martinet P., Vision-Based navigation of unmanned aerial vehicles, Control Engineering Practice, July 2010, Vol. 18, issue 7, pp. 789-799. [5] Courbon J., Mezouar Y., Guenard N., Martinet P., Visual navigation of a quadrotor aerial vehicle, Proceedings of the 2009 IEEE/RSJ Conference on Intelligent Robots and Systems, Oct. 2009, pp. 5315-5320. [6] Cui P., Yue F., Stereo Vision-Based autonomous navigation for lunar rovers, Aircraft Engineering and Aerospace Technology: An International Journal, 2007, Vol. 79, No. 4, pp. 398

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