Abstract
We present the example of Attitude Indicator Augmented Reality (AR) control for the unmanned aerial vehicles (UAV) ground control station. The article describes perspective heads-up display overlaid on the image, which is acquired from the UAV rotatable camera. Article shows the mechanisms of aircraft camera calibration with the AR artificial horizon. The whole algorithm of the render instructions is presented. Elements used in the augmented reality are as follows: 3D artificial horizon, latitude and longitude, GPS info, executed command, time to command end, percent of command accomplish, fuel and battery level, height and speed vertical scale, landing field direction arrow, unmanned vehicles marks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jędrasiak, K., Bereska, D., Nawrat, A.: The prototype of gyro-stabilized uav gimbal for day-night surveillance. In: Advanced Technologies for Intelligent Systems of National Border Security, Studies in Computational Intelligence, vol. 440, pp. 107–115 (2013)
Gałuszka, A., Skrzypczyk, K., Bereska, D., Pacholczyk, M.: Re-handling operations in small container terminal operated by reach stackers. World Acad. Sci. Eng. Technol. 70, 674–677 (2010)
Niezgoda, T., Panowicz, R., Sybilski, K., Barnat, W.: Numerical analysis of missile impact being shot by rocket propelled grenades with rod amour. WIT Trans. Model. Simul. 51, 625–633 (2011)
Kuś, Z., Nawrat, A.M.: The limitation for the angular velocity of the camera head during object tracking with the use of the UAV. In: Innovative Control Systems for Tracked Vehicle Platforms, Studies in Systems, Decisions and Control, vol. 2, pp. 127–145 (2014)
Kuś, Z., Nawrat, A.M.: Camera head control system with a changeable gain in a proportional regulator for object tracking. In: Innovative Control Systems for Tracked Vehicle Platforms, Studies in Systems, Decisions and Control, vol. 2, pp. 105–125 (2014)
Babiarz, A., Bieda, R., Jaskot, K.: A distributed control group of mobile robots in a limited area with a vision system. In: Vision Based Systems for UAV Applications, Studies in Computational Intelligence, vol. 481, pp. 157–175 (2013) (ISBN: 978-3-319-00368-9)
Wang, X., Vivek, Y., Balakrishnan, S.N.: Cooperative UAV formation flying with obstacle/collision avoidance. IEEE Trans. Control Syst. Technol. 15(4) (July 2007)
Kownacki, C.: Obstacle avoidance strategy for micro aerial vehicle. In: Advances in Aerospace Guidance, Navigation and Control, pp. 117–135 (2011)
Kownacki, C.: Control algorithm of micro aerial vehicle flight in streets’ canyons based on vision system, Faculty of Mechanical Engineering, Białystok Technical University, ul. Wiejska 45 C, 15–351 Białystok
McGee, T.G.: Obstacle detection for small autonomous aircraft using sky segmentation. In: Robotics and Automation ICRA 2005 (2005)
Frew, E.: Vision-based road following using a small autonomous aircraft. In: Aerospace Conference (2004)
International Civil Aviation Organization Cir 328, “Unmanned Aircraft Systems” (UAS), http://www.icao.int/Meetings/UAS/Documents/Circular%20328_en.pdf, 04.2014
Niezgoda, T., Barnat, W.: Analysis of protective structures made of various composite materials subjected to impact. Mater. Sci. Eng., A 483, 705–707 (2008)
Bibik, P., Zasuwa, M., Zugaj, M.: Research and training symulator of unmanned quadrotor. In: 18th IEEE International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 403–407 (2013)
Bereska, D., Balcewicz, R., Garczyński, M.: Implementacja magistrali CAN i protokołu CANopen w robocie edukacyjnym. Szybkobieżne Pojazdy Gąsienicowe 1, 157–162 (2008)
Czapla, T., Wrona, J.: Technology development of military applications of unmanned ground vehicles. In: Vision Based Systems for UAV Applications, Studies in Computational Intelligence, vol. 481, pp. 293–309 (2013) (ISBN: 978-3-319-00368-9)
Zeng, J.: System framework and standards of ground control station of unmanned aircraft system. Electr. Eng. Control, LNEE 98, 327–334
Nawrat, A., Jędrasiak, K., Daniec, K., Koteras, R.: Inertial Navigation Systems and Its Practical Applications (2012)
Iwaneczko, P., Jedrasiak, K., Daniec, K., Nawrat, A.: Design and Implementation of mobile ground base station for UGV. In: Innovative Control Systems for Tracked Vehicle Platforms, pp. 57–71 (2014)
Artificial Horizons from Castleberry Instruments, Falcon Gauge, RC Allen and Trutrak Flight Systems. http://sarasotaavionics.com/category/flight-instruments/artificial-horizon, 04.2014
ESC Aerospace, RPAS/UAS GCS (GROUND CONTROL SYSTEM) “TAJFUN”, http://www.esc-aerospace.com/eshop/index.php?controller=attachment&id_attachment=3, 04.2014
Lockheed Martin, VCS-4586 Ground Control Operator Software for Unmanned Vehicle Systems, http://www.lockheedmartin.com/content/dam/lockheed/data/ms2/documents/cdl-systems/VCS-4586%20CAPABILITIES%20GUIDE-August2013.pdf 04.2014
Stevenson, A.: Oxford Dictionary of English. In: Heads-Up Display. Oxford University Press, Oxford, page 809 (2010)
Jędrasiak, K., Daniec, K., Nawrat, A., Koteras, R.: Wykorzystanie kamer termowizyjnych w systemach dozoru wizyjnego infrastruktury krytycznej sieci dystrybucyjnych gazu. Przegląd Elektrotechniczny 88, 90–97 (2012)
Ryt, A., Sobel, D., Kwiatkowski, J., Domzal, M., Jedrasiak, K., Nawrat, A.: Real-time laser point tracking. In: Computer Vision and Graphics, Lecture Notes in Computer Science, vol. 8671. pp. 542–551 (2014)
Daniec, K., Iwaneczko, P., Jędrasiak, K., Nawrat, A.: Vision Based Systems for UAV Applications, Studies in Computational Intelligence, vol. 481, pp. 219–232 (2013) (ISBN: 978-3-319-00368-9)
Jedrasiak, K., Andrzejczak, M., Nawrat, A.: SETh: The Method for Long-Term Object Tracking. In: Computer Vision and Graphics, Lecture Notes in Computer Science, vol. 8671, pp. 302–315 (2014)
FY-DOS OSD, est_fpv_and_uav_set_for_rc_air_plane_FY_OSD.html, 04.2014
Skylark Tiny OSD III, http://www.nem.gr/skylark-tiny-osd-iii-set-p33842.html
Gałuszka, A., Pacholczyk, M., Bereska, D., Skrzypczyk, K.: Planning as artificial intelligence problem—short introduction and overview. In: Advanced Technologies for Intelligent Systems for National Border Security, pp. 95–103 (2013)
Antosz, P., Bereska, D., Gatys, K., Niedziela, T., Szota, P.: Multiłącznik IMPRESJA IQ-element instalacji inteligentnego budynku wykorzystującej magistralę CAN. Szybkobieżne Pojazdy Gąsienicowe 1, 99–106 (2011)
Tadema, J., Theunissena, E., Koeners, J.: Using perspective guidance overlay to improve UAV manual control performance. In: Enhanced and Synthetic Vision 2007, vol. 6559, Orlando, Florida, USA, 09 Apr 2007
Drake, S.P.: “Converting GPS Coordinates (φλh) to Navigation Coordinates (ENU)”, http://dspace.dsto.defence.gov.au/dspace/bitstream/1947/3538/1/DSTO-TN-0432.pdf, Surveillance Systems Division Electronics and Surveillance Research Laboratory
Iwaneczko, P., Jędrasiak, K., Daniec, K., Nawrat, A.: A prototype of unmanned aerial vehicle for image acquisition. In: Computer Vision and Graphics Lecture Notes in Computer Science, vol. 7594, pp. 87–94 (2012)
Acknowledgment
This work has been supported by Applied Research Programme of the National Centre for Research and Development as a project ID 178438 path A—Costume for acquisition of human movement based on IMU sensors with collection, visualization and data analysis software.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Iwaneczko, P., Jędrasiak, K., Nawrat, A. (2016). Augmented Reality in UAVs Applications. In: Nawrat, A., Jędrasiak, K. (eds) Innovative Simulation Systems. Studies in Systems, Decision and Control, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-319-21118-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-21118-3_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-21117-6
Online ISBN: 978-3-319-21118-3
eBook Packages: EngineeringEngineering (R0)