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Autonomous flight control method of drones for enforcement of traffic law violation

Authors
Kwak, J.Lee, S.-G.Sung, Y.
Issue Date
2019
Publisher
Springer Verlag
Keywords
Autonomous flight control; Drone; Traffic law violation
Citation
Communications in Computer and Information Science, v.931, pp 329 - 334
Pages
6
Indexed
SCOPUS
Journal Title
Communications in Computer and Information Science
Volume
931
Start Page
329
End Page
334
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/8544
DOI
10.1007/978-981-13-5907-1_35
ISSN
1865-0929
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. © Springer Nature Singapore Pte Ltd. 2019.
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College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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