Abstract
Recently, drones are used for monitoring in various fields. Especially, the pilots manually fly the drones in the sky in order to control the traffic law violation that occur at unspecified locations. However, in order to control traffic law violation by drone, it is necessary to fly autonomously and shooting traffic law violation rather than manually controlling the drones. This paper proposes autonomous control method of drones to crack down on traffic law violations. The pilot collects flight records to crack down on traffic law violations. The collected flight records generate a flight path for the autonomous flight of the drones. The generated flight path selects the optimal flight path for the drone to fly. The control signal is generated considering the obstacle and the flight path. The drones autonomously fly based on the control signal. It is possible to fly autonomously based on the proposed method by the drone and to crack down on traffic law violatios.
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Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A1B07049990).
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Kwak, J., Lee, SG., Sung, Y. (2019). Autonomous Flight Control Method of Drones for Enforcement of Traffic Law Violation. In: Park, J., Shen, H., Sung, Y., Tian, H. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2018. Communications in Computer and Information Science, vol 931. Springer, Singapore. https://doi.org/10.1007/978-981-13-5907-1_35
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DOI: https://doi.org/10.1007/978-981-13-5907-1_35
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