• The Journal of Korea Robotics Society
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• v.12 no.4
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• pp.425-431
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• 2017

As drones gain more popularity these days, drone detection becomes more important part of the drone systems for safety, privacy, crime prevention and etc. However, existing drone detection systems are expensive and heavy so that they are only suitable for industrial or military purpose. This paper proposes a novel approach for training Convolutional Neural Networks to detect drones from images that can be used in embedded systems. Unlike previous works that consider the class probability of the image areas where the class object exists, the proposed approach takes account of all areas in the image for robust classification and object detection. Moreover, a novel loss function is proposed for the CNN to learn more effectively from limited amount of training data. The experimental results with various drone images show that the proposed approach performs efficiently in real drone detection scenarios.

• IEMEK Journal of Embedded Systems and Applications
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• v.13 no.6
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• pp.289-296
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• 2018

Drone detection in FMCW radar system needs complex techniques because a drone beat frequency is highly dynamic and unpredictable. Therefore, the current static signal processing algorithms cannot show appropriate detection accuracy. With dynamic signal fluctuation and environmental clutters, it can fail to detect a drone or make false detection. It affects to the radar system integrity and safety. Constant false alarm rate (CFAR), one of famous static signal process algorithm is effective for static environment. But for drone detection, it shows low detection accuracy. In this paper, we suggest neural network based FMCW radar system for detecting a drone. We use recurrent neural network (RNN) because it is the effective neural network for signal processing. In our FMCW radar system, one transmitter emits FMCW signal and four-way fixed receivers detect reflected drone beat frequency. The coordinate of the drone can be calculated with four receivers information by triangulation. Therefore, RNN only learns and inferences reflected drone beat frequency. It helps higher learning and detection accuracy. With several drone flight experiments, RNN shows false detection rate and detection accuracy as 21.1% and 96.4%, respectively.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.202-202
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• 2018

• Journal of Aerospace System Engineering
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• v.18 no.2
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• pp.40-46
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• 2024

This study suggests a method to enhance drone flight path planning and safety evaluation in urban areas using Computational Fluid Dynamics (CFD). As the use of drones in urban environments has been growing rapidly, there is a lack of established methods for path planning and safety evaluation, which leads to a risky approach relying on experimental methods. Therefore, this research takes into account the intricate 3D fluid dynamics between drones and buildings by employing CFD to quantitatively plan flight paths and evaluate their safety. To accomplish this, the study focuses on Gimcheon Innovation City as the target area and collects relevant terrain and building data, and selects prospective flight routes. CFD analysis is then carried out to gather essential data for flight simulations and safety assessment. The safety assessments are conducted based on environmental fluid dynamics when the drone operates along the proposed flight paths

• The Korean Journal of Air & Space Law and Policy
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• v.35 no.2
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• pp.281-312
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• 2020

Despite the recent economic difficulties, the on-line market is overtaking the off-line market. Since US Amazon CEO Jeff Bezos mentioned that a delivery service using drones is possible, it has been creating new perspectives and values that have never been seen before. Drones are being used in various fields. Among them, the delivery service using drones will be the future growth engine of Korea in cooperation with the 4th industrial revolution. However, as drones are put into practical use, problems such as human life and property damage and personal information protection due to public collisions or falls are expected. The practical use of future drones is inevitable, not optional. As a method for commercialization of drones, first, securing safety through drone use and securing a national certification system, which is the minimum standard system for drone safety, and second, securing various infrastructures by activating drone use, and third, aviation regulations and personal information protection, etc. It needs to be supplemented in terms of laws and regulations.

• Journal of Advanced Navigation Technology
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• v.23 no.2
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• pp.114-124
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• 2019

The drone market, an unmanned aerial vehicle, is rapidly expanding and developing into an important area related to the huge changes in the traffic system of the future. With various technologies on the fourth industrial revolution, including drones, mentioned at the Davos Forum in January 2016, interest in drones is emerging as an explosive demand for national certificates. The number of drone pilots, which was only 400 in 2015, is continuing to surpass 17,000 as of 2018. Therefore, this study analyzed the safety perception of the pilots based on the DREEM (Dundee ready environmental assessment) model designed to evaluate the educational environment along with the current state of drone education in Korea. This led to the conclusion that the high level of satisfaction of the pilot with the educational environment contributes to the overall safety perception, including compliance with procedures.

• Journal of Arbitration Studies
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• v.26 no.4
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• pp.151-179
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• 2016

Emerging as a strategic domain of the service industry, the drone logistics industry is evolving into a zero effort industry, which realizes smart device service ranging from corporate services to daily customer services. The role of the drone industry is becoming increasingly important in strengthening national competitiveness, as well as corporate competitiveness, beyond the strengthening of product competitiveness. Although drones have various strengths and weaknesses for industries, there are plenty of possibilities for diverse disputes and conflicts due to lack of related laws, regulations, and institutional norms, as well as unsolved problems related to technologies and operations; that is, there are still policy tasks and problems to be solved such as unauthorized seizure of drones, hacking, protection of personal privacy, safety concerns, regulation and limitation of flying areas, damage relief, and dispute settlements. Thus, in order to vitalize the drone industry as a future growth engine while responding to the changes in the environment of the drone industry in Korea and overseas and to strengthen national and corporate competitiveness by harmonizing with advanced management innovations, it is necessary to conduct in-depth discussions and review policy issues related to the vitalization of the drone industry. Therefore, the purpose of this study is to review the domestic and overseas realities and statuses of the drone logistics industry and application cases, analyze policies regarding the drone logistics industry of each country, review general theories on the solution of disputes arising out of the transactions in the drone logistics industry, and, as a conclusion, suggest desirable policy issues for the vitalization of the drone logistics industry in Korea.

• Advances in aircraft and spacecraft science
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• v.10 no.6
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• pp.495-519
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• 2023

The drone serves the customers not served by vans. At the same time, considering the safety, policy and terrain as well as the need to replace the battery, the drone needs to be transported by truck to the identified station along with the parcel. From each such station, the drone serves a subset of customers according to a direct assignment pattern, i.e., every time the drone is launched, it serves one demand node and returns to the station to collect another parcel. Similarly, the truck is used to transport the drone and cargo between stations. This is somewhat different from the research of other scholars. In terms of the joint distribution of the drone and road vehicle, most scholars will choose the combination of two transportation tools, while we use three. The drone and vans are responsible for distribution services, and the trucks are responsible for transporting the goods and drone to the station. The goal is to optimize the total delivery cost which includes the transportation costs for the vans and the delivery cost for the drone. A fixed cost is also considered for each drone parking site corresponding to the cost of positioning the drone and using the drone station. A discrete optimization model is presented for the problem in addition to a two-phase heuristic algorithm. The results of a series of computational tests performed to assess the applicability of the model and the efficiency of the heuristic are reported. The results obtained show that nearly 10% of the cost can be saved by combining the traditional delivery mode with the use of a drone and drone stations.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.4
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• pp.110-115
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• 2018

This paper introduces Korea Airport Corporation's own research and development contents and plans for navigation aids check using drone which is actively research and developed mainly in advanced countries. The hardware, algorithm, operating program of the drone system, the drone flight trajectory setting, and real-time measurement results were analyzed and verified. By securing domestic technology for the latest technology utilizing drone, we plan to promote more thorough aviation safety and advanced technology in related field and commercialized it in domestic and overseas.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.332-340
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• 2021

The purpose of this study was to present a method for the application of drones through analysis after surveying Jeollanam-do firefighters regarding the recognition, operation, field of application, necessary field of work, and the need for education on fire drones. As a result of the survey, 80.29% of respondents were found to be willing to operate drones, and the fields of work for which drones were considered the most necessary were in the order of rescue, fire suppression, life safety, first aid, and others. Besides, 77.38% of respondents thought that drones could contribute to the prevention of safety accidents for firefighters, and 70.13% of respondents thought that it would be appropriate to recruit firefighting drone operators through changing positions, and respondents chose firefighters in their 40s as the most suitable age group for firefighting drone operation. Also, 82.84% of respondents said they would participate in drone training, and they recognized that the use of drones could contribute to solving the physical problems caused by the aging of firefighters, and that drone training would also help firefighters manage their retirement. The fields where firefighting drones are used were investigated in the order of searching for requestors, checking on-site information, and checking on-site prior risk. In this study, a difference analysis for each group was performed according to the drone operation experience. There was a statistically significant difference in the items of safety measures for requestors. The results of variance analysis by work experience confirmed that there were statistically significant differences in a total of eight items, including four items related to the field of use of drones, and the age group of the drone operating crew, and whether or not to help retirement management.