@inproceedings{018a320052b541b0a2f4e20c4fbf27f9,
title = "Autonomous flight control method of drones for enforcement of traffic law violation",
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.",
keywords = "Autonomous flight control, Drone, Traffic law violation",
author = "Jeonghoon Kwak and Lee, {Sang Geol} and Yunsick Sung",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 19th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2018 ; Conference date: 20-08-2018 Through 22-08-2018",
year = "2019",
doi = "10.1007/978-981-13-5907-1_35",
language = "English",
isbn = "9789811359064",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "329--334",
editor = "Yunsick Sung and Park, {Jong Hyuk} and Hui Tian and Hong Shen",
booktitle = "Parallel and Distributed Computing, Applications and Technologies - 19th International Conference, PDCAT 2018, Revised Selected Papers",
address = "Germany",
}