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Low Cost Hexacopter Autonomous Platform for Testing and Developing Photogrammetry Technologies and Intelligent Navigation Systems

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Low-cost solutions for autonomous aerial platforms are being intensively developed and used within geodetic community. Unmanned aerial vehicles are becoming very popular and widely used for photogrammetry and remote sensing applications. Today’s market offers an affordable price components for unmanned solution with significant quality and accuracy growth. Every year market offers a new solutions for autonomous platforms with better technical specifications. Commercial drones for amateurs are widely offered and presents a quality and accuracy not available in past few years. In this paper an autonomous open source low cost haxacopter system for photogrammetry and intelligent navigation technologies evaluation is being presented. The system was designed and assembled for technologies testing and for educational purposes. The drone is based only on open source hardware and software. All components are based on open source and commercial of the shelf products. That approach to the drones construction provides a many capabilities to test, implement and execute new algorithms, solutions and tasks. Providing basic configuration tools system enables students to safely perform elementary setup and testing. An advanced configurations system tool and open source structure enables to execute advanced scientific test and research. Paper presents results of designed process, system configuration and specification, technical issues that was being solved during test flights and practical research results.

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Accepted albo Published Version
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Creative Commons: CC-BY-NC otwiera się w nowej karcie

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Kategoria:
Aktywność konferencyjna
Typ:
materiały konferencyjne indeksowane w Web of Science
Tytuł wydania:
10th International Conference „Environmental Engineering“ strony 1 - 6
ISSN:
2029-7092
Język:
angielski
Rok wydania:
2017
Opis bibliograficzny:
Burdziakowski P..: Low Cost Hexacopter Autonomous Platform for Testing and Developing Photogrammetry Technologies and Intelligent Navigation Systems, W: 10th International Conference „Environmental Engineering“, 2017, ,.
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3846/enviro.2017.172
Bibliografia: test
  1. Ardupilot, P. 2016. ArduPilot DEV.
  2. Błaszczak-Bąk, W.; Janowski, A.; Srokosz, P. 2016. High performance filtering for big datasets from airborne laser scanning with CUDA technology, Survey Review (in press) DOI: 10.1080/00396265.2016.1264180 otwiera się w nowej karcie
  3. Burdziakowski, P. 2017. Low cost hexacopter autonomous platform for testing and developing photogrammetry technologies and intelligent navigation systems otwiera się w nowej karcie
  4. Bobkowska, K. 2016. Analysis of the objects images on the sea using Dempster-Shafer Theory, in 17th International Radar Symposium (IRS), 10-12 May 2016, Krakow, Poland, IEEE, 1-4. otwiera się w nowej karcie
  5. Burdziakowski, P.; Janowski, A.; Przyborski, M.; Szulwic, J. 2016. A modern approach to an unmanned vehicle navigation, in 16th International Multidisciplinary Scientific GeoConference SGEM 2016, Vol 2, 30 June-06 July 2016, Albena, Bulgaria. otwiera się w nowej karcie
  6. Burdziakowski, P.; Szulwic, J. 2016. A commercial of the shelf components for a unmanned air vehicle photogrammetry, in 16th International Multidisciplinary Scientific GeoConference SGEM 2016, Vol 2, 30 June-06 July 2016, Albena, Bulgaria. ITU-R Report SM.2180 Impact of industrial, scientific and medical (ISM) equipment on radiocommunication services. otwiera się w nowej karcie
  7. Janowski, A.; Szulwic, J.; Tysiac, P.; Wojtowicz, A. 2015. Airborne and mobile laser scanning in measurements of sea cliffs on The Southern Baltic, in 15th International Multidisciplinary Scientific GeoConference SGEM 2015, Vol 2, 18-24 June 2015, Albena, Bulgaria. otwiera się w nowej karcie
  8. Jha, A. 2016. Theory, design, and applications of unmanned aerial vehicles. CRC Press. https://doi.org/10.1201/9781315371191 otwiera się w nowej karcie
  9. Kamiński, W.; Makowska, K.; Miskiewicz, M.; Szulwic, J.; Wilde, K. 2015. System of monitoring of the Forest Opera in Sopot structure and roofing, in 15th International Multidisciplinary Scientific GeoConference SGEM 2015, SGEM2015 Conference Proceedings, 18-24 June 2015, Book2, Vol. 2. ISBN 978-619-7105-35-3 / ISSN 1314-2704.
  10. Kedzierski, M.; Fryskowska, A.; Wierzbicki, D.; Nerc, P. 2016. Chosen aspects of the production of the basic map using UAV imagery, in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences -ISPRS Archives. https://doi.org/10.1016/j.measurement.2016.06.003 otwiera się w nowej karcie
  11. Kedzierski, M., Wierzbicki, D. 2016. Methodology of improvement of radiometric quality of images acquired from low altitudes, Measurement: Journal of the International Measurement Confederation 92: 70-78. otwiera się w nowej karcie
  12. Kedzierski, M.; Wierzbicki, D. 2015. Radiometric quality assessment of images acquired by UAV's in various lighting and weather conditions, Measurement: Journal of the International Measurement Confederation 76: 156-169. otwiera się w nowej karcie
  13. St. Laurent, A. M. S. 2004. Understanding open source and free software licensing. Ariadne: 193. otwiera się w nowej karcie
  14. Liang, O. 2017. Quadcopter pid explained [online], [cited 02 April 2016]. Available from Internet: https://oscarliang.com/understanding-pid-for-quadcopter-rc-flight.
  15. Meier, L.; Tanskanen, P.; Fraundorfer, F.; Pollefeys, M. 2011. PIXHAWK: a system for autonomous flight using onboard computer vision, in Proceedings -IEEE International Conference on Robotics and Automation, 09-13 May 2011, Shanghai, Peoples R China. otwiera się w nowej karcie
  16. Meier, L.; Tanskanen, P.; Fraundorfer, F.; Pollefeys, M. 2012. The Pixhawk Open-Source Computer Vision Framework for Mavs, in ISPRS -International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII- 1/(September): 13-18. otwiera się w nowej karcie
  17. Müller, M. ECalc [online]. 2016 [cited 02 April 2016]. Available from Internet: www.eCalc.ch Nvidia. 2011. NVIDIA CUDA C programming guide, NVIDIA Corporation (February), 1-227.
  18. Stateczny, A.; Bodus-Olkowska, I. 2015. Sensor data fusion techniques for environment modelling, in 2015 16th International Radar Symposium (IRS), 24-26 Jun 2015, Dresden, Germany. otwiera się w nowej karcie
  19. Szulwic, J.; Burdziakowski, P.; Janowski, A.; Przyborski, M.; Tysia¸c, P.; Wojtowicz, A.; Kholodkov, A.; Matysik, K.; Matysik, M. 2015. Maritime laser scanning as the source for spatial data, Polish Maritime Research 22(4): 9-14. https://doi.org/10.1515/pomr-2015-0064 otwiera się w nowej karcie
Weryfikacja:
Politechnika Gdańska

wyświetlono 296 razy

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