Android Application to Control Commercial UAV
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How to Cite

P, Vishva, Nivethitha P V, Sowndarya Lakshmi V, Vithun S S, and Manavaalan G. 2023. “Android Application to Control Commercial UAV”. Journal of Ubiquitous Computing and Communication Technologies 5 (1): 83-95. https://doi.org/10.36548/jucct.2023.1.006.

Keywords

— UAV
— DJI Matrice 100
— Flight control app
— Sensor system
Published: 02-05-2023

Abstract

Unmanned Aerial Vehicles (UAVs) have been used in many industries because they can fly out of sight, maximize production, reduce costs and risks, while ensuring visual security and safety for human workers during pandemics. A commercial drone is typically controlled and navigated using a remote control and a mobile application. Mobile apps are used to visualize the drone's coordinates on a map. There is no direct mobile app for controlling a developer drone like the DJI Matrice 100. This research presents a mobile application for controlling a DJI drone as well as a sensor system for providing information about obstacles encountered during the flight.

References

  1. https://www.dji.com/matrice100
  2. Y. Liu, Q. Wang, H. Hu and Y. He, "A Novel Real-Time Moving Target Tracking and Path Planning System for a Quadrotor UAV in Unknown Unstructured Outdoor Scenes," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 11, pp. 2362-2372, Nov. 2019, doi: 10.1109/TSMC.2018.2808471.
  3. M. Demirhan and C. Premachandra, "Development of an Automated Camera-Based Drone Landing System," in IEEE Access, vol. 8, pp. 202111-202121, 2020, doi: 10.1109/ACCESS.2020.3034948.
  4. A. Zhilenkov and I. R. Epifantsev, "System of autonomous navigation of the drone in difficult conditions of the forest trails," 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), Moscow and St. Petersburg, Russia, 2018, pp. 1036-1039, doi: 10.1109/EIConRus.2018.8317266.
  5. Masaru Sato1, Masami Iwase, “Semi-autonomous flight control of forestry-use drone” 2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) September 10-13, 2019, Hiroshima, Japan
  6. C. L. K. Ye, H. S. Jo and R. S. Jo, "Development of UAV -based Automated Vehicle Recognition System for Parking Enforcement," 2019 4th International Conference on Robotics and Automation Engineering (ICRAE), Singapore, 2019, pp. 111-115, doi: 10.1109/ICRAE48301.2019.9043803.
  7. S. Lee, D. Har and D. Kum, "Drone-Assisted Disaster Management: Finding Victims via Infrared Camera and Lidar Sensor Fusion," 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), Nadi, Fiji, 2016, pp. 84-89, doi: 10.1109/APWC-on-CSE.2016.025.
  8. R. Tariq, M. Rahim, N. Aslam, N. Bawany and U. Faseeha, "DronAID : A Smart Human Detection Drone for Rescue," 2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT), Islamabad, Pakistan, 2018, pp. 33-37, doi: 10.1109/HONET.2018.8551326.
  9. L. Abraham, S. Biju, F. Biju, J. Jose, R. Kalantri and S. Rajguru, "Swarm Robotics in Disaster Management," 2019 International Conference on Innovative Sustainable Computational Technologies (CISCT), Dehradun, India, 2019, pp. 1-5, doi: 10.1109/CISCT46613.2019.9008139.
  10. M. Asad, O. A. Aidaros, R. Beg, M. A. Dhahri, S. A. Neyadi and M. Hussein, "Development of autonomous drone for gas sensing application," 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Ras Al Khaimah, United Arab Emirates, 2017, pp. 1-6, doi: 10.1109/ICECTA.2017.8252068.
  11. A. Devos, E. Ebeid and P. Manoonpong, "Development of Autonomous Drones for Adaptive Obstacle Avoidance in Real World Environments," 2018 21st Euromicro Conference on Digital System Design (DSD), Prague, Czech Republic, 2018, pp. 707-710, doi: 10.1109/DSD.2018.00009.