Implementation of an Image Processing System in Drone Battle Based on Ardupilot
Keywords:
Image Processing, Drone Battle, Ardupilot, System ImplementationAbstract
The aim of this research is to create an ArduPilot-based image processing system for drone combat that can detect, identify and track targets in real-time to improve navigation capabilities and combat strategies. This system will integrate drone hardware with image processing algorithms and cameras to detect target position and movement. Tests show that detection and maneuvering in dynamic combat conditions are better. It is hoped that this implementation will be an innovative solution for drone combat and additional applications such as surveillance and rescue missions.
References
Articles from the Journals
Abirami, P., Vadivu, K. S., Lalitha, R. H., Pushpavalli, M., Sivagami, P., Harikrishnan, R., & Ahmed, I. S. (2023, December). Interfacing a Flying Robot with OpenCV. In 2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG) (pp. 1-11). IEEE.
Akbari, Y., Almaadeed, N., Al-Maadeed, S., & Elharrouss, O. (2021). Applications, databases and open computer vision research from drone videos and images: a survey. Artificial Intelligence Review, 54, 3887-3938.
Askerbekov, D., Garza-Reyes, J. A., Ghatak, R. R., Joshi, R., Kandasamy, J., & de Mattos Nascimento, D. L. (2024). Embracing drones and the Internet of drones systems in manufacturing–An exploration of obstacles. Technology in Society, 78, 102648.
Cañas, J. M., Martín-Martín, D., Arias, P., Vega, J., Roldán-Álvarez, D., García-Pérez, L., & Fernández-Conde, J. (2020). Open-source drone programming course for distance engineering education. Electronics, 9(12), 2163
Chen, P., Dang, Y., Liang, R., Zhu, W., & He, X. (2017). Real-time object tracking on a drone with multi-inertial sensing data. IEEE Transactions on Intelligent Transportation Systems, 19(1), 131-139.
Ebeid, E., Skriver, M., Terkildsen, K. H., Jensen, K., & Schultz, U. P. (2018). A survey of open-source UAV flight controllers and flight simulators. Microprocessors and Microsystems, 61, 11-20
Hassanalian, M., & Abdelkefi, A. (2017). Classifications, applications, and design challenges of drones: A review. Progress in Aerospace sciences, 91, 99-131.
Javaid, M., Khan, I. H., Singh, R. P., Rab, S., & Suman, R. (2022). Exploring contributions of drones towards Industry 4.0. Industrial Robot: the international journal of robotics research and application, 49(3), 476-490.
Kesuma, P. R., Dewi, T., Kusumanto, R. D., Risma, P., & Oktarina, Y. (2020). Desain Fuzzy Logic Controller Untuk Pengendali Pergerakan Mobile Manipulator. Journal Of Applied Smart Electrical Network And System (Jasens) Vol, 1(1), 12-18.
Maghazei, O., and Netland, T. (2020). Drones in manufacturing: Exploring opportunities for research and practice. Journal of Manufacturing Technology Management, 31(6), 1237-1259.
Munawar, H. S., Hammad, A. W., & Waller, S. T. (2021). A review on flood management technologies related to image processing and machine learning. Automation in Construction, 132, 103916.
Mohsan, S. A. H., Othman, N. Q. H., Li, Y., Alsharif, M. H., & Khan, M. A. (2023). Unmanned aerial vehicles (UAVs): Practical aspects, applications, open challenges, security issues, and future trends. Intelligent Service Robotics, 16(1), 109-137.
Peksa, J., & Mamchur, D. (2024). A Review on the State of the Art in Copter Drones and Flight Control Systems. Sensors, 24(11), 3349.
Sinaga, T. H. W., and Sinurat, S. (2022). Implementasi Metode Viola Jones Untuk Perancangan Sistem Pemantauan Tempat Parkir Berdasarkan Digital Image Processing. Bulletin of Multi-Disciplinary Science and Applied Technology, 1(2), 54-59.
Vergouw, B., Nagel, H., Bondt, G., & Custers, B. (2016). Drone technology: Types, payloads, applications, frequency spectrum issues and future developments. The future of drone use: Opportunities and threats from ethical and legal perspectives, 21-45.
Wang, J., Zhou, K., Xing, W., Li, H., & Yang, Z. (2023). Applications, evolutions, and challenges of drones in maritime transport. Journal of Marine Science and Engineering, 11(11), 2056.
Widiatmoko, D., & Aulia, W. (2023). Teknologi Rancang Bangun Drone Air Dengan Remote Control Menggunakan Sistem Ballast Tank: Elkasista. Jurnal Elkasista, 4(1), 8-15.
Zhang, C., Valente, J., Kooistra, L., Guo, L., & Wang, W. (2021). Orchard management with small unmanned aerial vehicles: A survey of sensing and analysis approaches. Precision agriculture, 22(6), 2007-2052.
Repository
Abrari, M. G. (2019). Rancang Bangun Unmanned Aerial Vehicle Berbasis Image Processing Untuk Estimasi Hasil Panen. http://repository.polmanbandung.ac.id/file_publikasi/9926652Jurnal_TA_Muhammad%20Giriarda%20A_21
Akbar, M.A. (2024). Rancang Bangun Drone Air Dengan Remote Control Menggunakan Sistem Ballast Tank. Poltekad Kodiklatad. Https://Repo.Poltekad.Ac.Id/207/
Yuliani, F. (2022). Analisis Dan Implementasi Object Tracking Pada Kamera Webcam Dengan Image Processing Menggunakan Metode Mean Shift. https://dspace.uii.ac.id/handle/123456789/40453
Proceeding
Taufik, A., Tandioga, R., Nugraha, I., & Utomo, A. T. (2018, December). Drone Pengikut Objek Berbasis Image Processing. In Seminar Nasional Hasil Penelitian & Pengabdian Kepada Masyarakat (Snp2m) (Vol. 3, No. 1).
Published Books
Audronis, T. (2017). Designing Purpose-built Drones for Ardupilot Pixhawk 2.1: Build Drones with Ardupilot. Packt Publishing Ltd.
Kreps, S. E. (2016). Drones: What Everyone Needs To Know. Oxford University Press.
Sadraey, M. H. (2024). Microcontroller Boards. In Unmanned Aircraft Design: A Review
Of Fundamentals (Pp. 151-169). Cham: Springer International Publishing.
Doctoral Dissertation
Kafi, A. H., Monowar, M. I., Antara, R. S. I., & Maruf, M. M. (2015). Uav Based Remote Sensing For Developing Countries (Doctoral Dissertation, Brac University).
Yasa, K. P. D. (2022). Penerapan Drone Berbasis Internet of Things untuk Pengantaran Barang Secara Otomatis (Doctoral dissertation, Politeknik Negeri ujung Pandang)
