DOI: https://doi.org/10.32515/2664-262X.2022.6(37).2.26-36
Research of Video Stabilization Methods and of the Construction of Video Camera Gyro-stabilized Suspensions for Drones
About the Authors
Oleksandr Maidanyk, post-graduate, Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: maidanyksmail@gmail.com, ORCID ID: 0000-0002-8580-7502
Yelyzaveta Meleshko, Professor, Doctor in Technics (Doctor of Technic Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: elismeleshko@gmail.com, ORCID ID: 0000-0001-8791-0063
Anatolii Matsui, Professor, Doctor in Technics (Doctor of Technic Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: matsuyan@ukr.net, ORCID ID: 0000-0001-5544-0175
Serhii Shymko, post-graduate, Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: shymko.sv@meta.ua, ORCID ID: 0000-0002-1132-484X
Abstract
The goal of this paper was to research the construction of gyro-stabilized video camera suspensions for drones used for mechanical video stabilization during video monitoring or aerial exploration. The quality of the image received from the drone depends on the quality of the video stabilization, and therefore the amount of useful information received.
There are two main groups of video stabilization methods: optical-mechanical and digital stabilization. In order to maximize the quality of the image from the video camera of the unmanned aerial vehicle and to minimize the effects of camera shake, it is necessary to first perform mechanical-optical video stabilization, and then, if necessary, supplement it with digital stabilization. Only digital stabilization without mechano-optical is performed only for the purpose of making the drone cheaper. Optical-mechanical stabilization is usually based on gyroscope readings.
In this work, comparative research of the following methods of mechanical stabilization of video from drones was conducted: based on 3-axis and 2-axis gyro-stabilized suspensions with one microcontroller and based on gyro-stabilized suspensions with encoders and several microcontrollers. Mechanical stabilization, in addition to leveling the position of the camera when maneuvering the drone, allows you to turn the camera to a convenient viewing angle for the operator of a drone. 2-axis and 3-axis suspensions with one microcontroller have become the most popular because of their convenience and practicality. 1-axis suspensions or rigidly fixed cameras are used less often. Rigidly fixed cameras are used as course guides for orientation in space by the operator of a drone. That is, such a camera makes it possible to understand the deviation of the drone from the horizon and to adjust the command to the operator for correct flight. Rigid cameras are also used on drones for drone racing competitions. A modular system based on magnetic encoders and several microcontrollers is just beginning to develop, but such a system has a number of advantages, although it is more complicated and expensive. The system provides high accuracy and reliability of stabilization. Each module of the system performs its task. In this way, the resources of microcontrollers are distributed. But its main feature is maintaining the position of the axis rotors relative to the encoder readings. This makes it possible to react very precisely to dynamic actions on the system during active maneuvering of the drone.
Keywords
drone, unmanned aerial vehicle, gyro-stabilized video camera suspensions, digital video stabilization, mechanical video stabilization, video monitoring, aerial exploration
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References
1. Aswini, N. & Uma, S.V. (2021). Video Stabilization for Drone Surveillance System. In: Venugopal, K.R., Shenoy, P.D., Buyya, R., Patnaik, L.M., Iyengar, S.S. (eds) . Data Science and Computational Intelligence (ICInPro 2021). Communications in Computer and Information Science, Vol. 1483. Springer, Cham, P. 468-480. URL: https://doi.org/10.1007/978-3-030-91244-4_37
2. Kowal, D. (2015). Considerations for opto-mechanical vs. digital stabilization in surveillance systems. Proceedings, Vol. 9451, Infrared Technology and Applications XLI, 94510B, Event: SPIE Defense + Security, 2015, Baltimore, Maryland, United States. DOI: https://doi.org/10.1117/12.2178123
3. Aguilar, W.G. & Angulo, C. (2016). Real-Time Model-Based Video Stabilization for Microaerial Vehicles. Neural Process Lett 43, P. 459-477. DOI: https://doi.org/10.1007/s11063-015-9439-0
4. Zhou, X., Zhang, H. & Yu, R. (2014). Decoupling control for two-axis inertially stabilized platform based on an inverse system and internal model control. Mechatronics, Vol. 24, Issue 8, P. 1203-1213. URL: https://www.sciencedirect.com/science/article/pii/S0957415814001317 . DOI: https://doi.org/10.1016/ j.mechatronics.2014.09.004
5. Kanchenko, V.Ya., Karnaushenko, R.V., Kliuchnykov, O.O., Marynoshenko, O.P. & Chepur, M.L. (2015). Unmanned aerial vehicles for radiation reconnaissance and agricultural purpose. Chernobyl: Institute of Safety Problems of Nuclear Power Plants, 180 p. URL: http://www.ispnpp.kiev.ua/wp-content/uploads/2017/mono/khan-2015.pdf (in Ukrainian)
6. STorM32 NT brushless gimbal controller. olliw.eu. URL: http://www.olliw.eu/storm32bgc-wiki/Main_Page
7. AS5600 Position Sensor. ams.com. URL: https://ams.com/zh/as5600
8. AS5600 12-Bit Programmable Contactless Potentiometer. ams.com. URL: https://ams.com/documents/20143/36005/AS5600_DS000365_5-00.pdf
9. Tstorm32. olliw.eu. URL: http://www.olliw.eu/storm32bgc-wiki/File:Tstorm32-wiring-scheme-sketch.jpg
Citations
- Aswini, N., Uma, S.V. Video Stabilization for Drone Surveillance System / In: Venugopal, K.R., Shenoy, P.D., Buyya, R., Patnaik, L.M., Iyengar, S.S. (eds) Data Science and Computational Intelligence (ICInPro 2021), Communications in Computer and Information Science, Vol. 1483. Springer, Cham. 2021. P. 468-480. URL: https://doi.org/10.1007/978-3-030-91244-4_37
- Kowal D. Considerations for opto-mechanical vs. digital stabilization in surveillance systems // Proceedings, vol. 9451, Infrared Technology and Applications XLI, 94510B, Event: SPIE Defense + Security, 2015, Baltimore, Maryland, United States. 2015. URL: https://doi.org/10.1117/12.2178123
- Aguilar W.G., Angulo C. Real-Time Model-Based Video Stabilization for Microaerial Vehicles // Neural Process Lett 43. P. 459-477. 2016. URL: https://doi.org/10.1007/s11063-015-9439-0
- Zhou X., Zhang H., Yu R. Decoupling control for two-axis inertially stabilized platform based on an inverse system and internal model control // Mechatronics, Vol. 24, Issue 8. 2014. P. 1203-1213. URL: https://www.sciencedirect.com/science/article/pii/S0957415814001317. DOI: https://doi.org/10.1016/ j.mechatronics.2014.09.004
- Безпілотні літальні апарати радіаційної розвідки і сільськогосподарського призначення: монографія / В.Я. Канченко та ін.; Чорнобиль: Інститут проблем безпеки атомних електростанцій. 2015. 180 с. URL: http://www.ispnpp.kiev.ua/wp-content/uploads/2017/mono/khan-2015.pdf
- STorM32 NT brushless gimbal controller. URL: http://www.olliw.eu/storm32bgc-wiki/Main_Page
- AS5600 Position Sensor . URL: https://ams.com/zh/as5600
- AS5600 12-Bit Programmable Contactless Potentiometer. URL: https://ams.com/documents/20143/ 36005/AS5600_DS000365_5-00.pdf (Last accessed: 29.10.2022)
- Tstorm32. URL: http://www.olliw.eu/storm32bgc-wiki/File:Tstorm32-wiring-scheme-sketch.jpg (Last accessed: 29.10.2022)
Copyright (c) 2022 Oleksandr Maidanyk, Yelyzaveta Meleshko, Anatolii Matsui, Serhii Shymko
Research of Video Stabilization Methods and of the Construction of Video Camera Gyro-stabilized Suspensions for Drones
About the Authors
Oleksandr Maidanyk, post-graduate, Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: maidanyksmail@gmail.com, ORCID ID: 0000-0002-8580-7502
Yelyzaveta Meleshko, Professor, Doctor in Technics (Doctor of Technic Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: elismeleshko@gmail.com, ORCID ID: 0000-0001-8791-0063
Anatolii Matsui, Professor, Doctor in Technics (Doctor of Technic Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: matsuyan@ukr.net, ORCID ID: 0000-0001-5544-0175
Serhii Shymko, post-graduate, Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: shymko.sv@meta.ua, ORCID ID: 0000-0002-1132-484X
Abstract
Keywords
Full Text:
PDFReferences
1. Aswini, N. & Uma, S.V. (2021). Video Stabilization for Drone Surveillance System. In: Venugopal, K.R., Shenoy, P.D., Buyya, R., Patnaik, L.M., Iyengar, S.S. (eds) . Data Science and Computational Intelligence (ICInPro 2021). Communications in Computer and Information Science, Vol. 1483. Springer, Cham, P. 468-480. URL: https://doi.org/10.1007/978-3-030-91244-4_37
2. Kowal, D. (2015). Considerations for opto-mechanical vs. digital stabilization in surveillance systems. Proceedings, Vol. 9451, Infrared Technology and Applications XLI, 94510B, Event: SPIE Defense + Security, 2015, Baltimore, Maryland, United States. DOI: https://doi.org/10.1117/12.2178123
3. Aguilar, W.G. & Angulo, C. (2016). Real-Time Model-Based Video Stabilization for Microaerial Vehicles. Neural Process Lett 43, P. 459-477. DOI: https://doi.org/10.1007/s11063-015-9439-0
4. Zhou, X., Zhang, H. & Yu, R. (2014). Decoupling control for two-axis inertially stabilized platform based on an inverse system and internal model control. Mechatronics, Vol. 24, Issue 8, P. 1203-1213. URL: https://www.sciencedirect.com/science/article/pii/S0957415814001317 . DOI: https://doi.org/10.1016/ j.mechatronics.2014.09.004
5. Kanchenko, V.Ya., Karnaushenko, R.V., Kliuchnykov, O.O., Marynoshenko, O.P. & Chepur, M.L. (2015). Unmanned aerial vehicles for radiation reconnaissance and agricultural purpose. Chernobyl: Institute of Safety Problems of Nuclear Power Plants, 180 p. URL: http://www.ispnpp.kiev.ua/wp-content/uploads/2017/mono/khan-2015.pdf (in Ukrainian)
6. STorM32 NT brushless gimbal controller. olliw.eu. URL: http://www.olliw.eu/storm32bgc-wiki/Main_Page
7. AS5600 Position Sensor. ams.com. URL: https://ams.com/zh/as5600
8. AS5600 12-Bit Programmable Contactless Potentiometer. ams.com. URL: https://ams.com/documents/20143/36005/AS5600_DS000365_5-00.pdf
9. Tstorm32. olliw.eu. URL: http://www.olliw.eu/storm32bgc-wiki/File:Tstorm32-wiring-scheme-sketch.jpg
Citations
- Aswini, N., Uma, S.V. Video Stabilization for Drone Surveillance System / In: Venugopal, K.R., Shenoy, P.D., Buyya, R., Patnaik, L.M., Iyengar, S.S. (eds) Data Science and Computational Intelligence (ICInPro 2021), Communications in Computer and Information Science, Vol. 1483. Springer, Cham. 2021. P. 468-480. URL: https://doi.org/10.1007/978-3-030-91244-4_37
- Kowal D. Considerations for opto-mechanical vs. digital stabilization in surveillance systems // Proceedings, vol. 9451, Infrared Technology and Applications XLI, 94510B, Event: SPIE Defense + Security, 2015, Baltimore, Maryland, United States. 2015. URL: https://doi.org/10.1117/12.2178123
- Aguilar W.G., Angulo C. Real-Time Model-Based Video Stabilization for Microaerial Vehicles // Neural Process Lett 43. P. 459-477. 2016. URL: https://doi.org/10.1007/s11063-015-9439-0
- Zhou X., Zhang H., Yu R. Decoupling control for two-axis inertially stabilized platform based on an inverse system and internal model control // Mechatronics, Vol. 24, Issue 8. 2014. P. 1203-1213. URL: https://www.sciencedirect.com/science/article/pii/S0957415814001317. DOI: https://doi.org/10.1016/ j.mechatronics.2014.09.004
- Безпілотні літальні апарати радіаційної розвідки і сільськогосподарського призначення: монографія / В.Я. Канченко та ін.; Чорнобиль: Інститут проблем безпеки атомних електростанцій. 2015. 180 с. URL: http://www.ispnpp.kiev.ua/wp-content/uploads/2017/mono/khan-2015.pdf
- STorM32 NT brushless gimbal controller. URL: http://www.olliw.eu/storm32bgc-wiki/Main_Page
- AS5600 Position Sensor . URL: https://ams.com/zh/as5600
- AS5600 12-Bit Programmable Contactless Potentiometer. URL: https://ams.com/documents/20143/ 36005/AS5600_DS000365_5-00.pdf (Last accessed: 29.10.2022)
- Tstorm32. URL: http://www.olliw.eu/storm32bgc-wiki/File:Tstorm32-wiring-scheme-sketch.jpg (Last accessed: 29.10.2022)