• The Korean Journal of Air & Space Law and Policy
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• v.35 no.3
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• pp.65-93
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• 2020

With the development of information and communication technology, the unmanned aerial vehicle industry began to attract attention as a new growth industry as it entered the fourth industrial revolution. As the size of the unmanned aerial vehicles and the scope of airspace vary from small drones to large unmanned aerial vehicles, the developed countries such as USA and Europe are developing plans for the integrated operation of manned and unmanned aerial vehicles. ICAO is also working on amendments to the relevant ICAO annexes to establish international standards and recommendations for unmanned aerial vehicles. Korea also needs to prepare for the integrated operation of manned and unmanned aerial vehicles that will come in the future, and for this purpose, it is necessary to review and revise the national regulation systems for the safe operation of unmanned aerial vehicles. This study analyzes the amendments of related annexes discussed on the Remotely Piloted Aircraft System (RPAS) pannel, and suggests the direction of revision of the Aviation Safety Act for the safe operation of unmanned aerial vehicles in comparison with the existing Aviation Safety Act.

• Journal of Advanced Navigation Technology
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• v.22 no.1
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• pp.1-12
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• 2018

Currently, the domestic UAS technology is lagging behind the leading countries in terms of both advanced technology and industrial competitiveness, but it cannot avoid the global efforts of integrating UAS into existing manned aviation system and applying them to industries. UAS is a relatively new system to existing aviation world, but ICAO is making a great effort to help Contracting States and the aviation industries to better understand and promote UAV systems. In particular, the UAS is classified as RPAS and other UAS, leading to the standardization work for integrating the RPAS into the manned aviation in the near future. For this purpose, ICAO has been promoting the standardization for the global operation of the RPAS, and in this study, it has been carrying out the study on the strategy to establish the domestic RPAS certification system including the ICAO standardization activities. This paper analyzes the domestic and international regulatory frameworks for RPAS and presents a strategy for building the domestic RPAS certification system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.485-486
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• 2021

항공기에는 많은 시스템이 있고 다양한 장치들이 있다. 이 장치들은 사용자의 명령을 입력받아 사용되는데 자동을 제외한 거의 모든 시스템들은 사용자의 직접적인 조작으로 작동된다. 하지만 여전히 완전 자동화는 되지 않아 사소하고 섬세한 부분에서 조종사는 수동으로 작동시켜 주어야하는 부분들이 있다. 사소한 부분들을 신경써야 하기에 조종사에게 피로는 필수적을 따라왔다. 본 연구에선 현재의 기술에서 더 나아가 음성인식(STT, TTS)을 활용하여 항공기의 다양한 장치들을 원격제어할 수 있게 개발하여 완전 자동화를 목적으로 한다. 음성을 이용한 방식은 조종사에게 손을 사용하지 않는 편리함을 제공한다. 조종사에게 원거리에서 음성으로 조작할 수 있게 해줌으로써 손을 사용하여 조작하지 않아 편의성을 제공할 수 있고 명령을 통해 컴퓨터가 처리함으로써 조종이 간단해진다. 본 연구로 인해 사소한 부분까지 신경쓸 필요가 없어져 조종사의 실수나 피로로인해 일어나는 사고를 방지할 수 있다.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.305-308
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• 2009

최근 카메라와 같은 센서가 장착된 UAV(Unmanned Aerial Vehicle, 무인항공기)를 이용하는 분야는 방재, 농업, 군사 분야 등 매우 다양해지고 있다. 그러나 고품질의 영상데이터를 취득하기 위해서는 가벼우면서도 우수한 성능을 지닌 고가의 MEMS 센서 그리고 센서가 안정적으로 데이터를 획득할 수 있도록 안정적인 비행이 가능한 대형 UAV플랫폼으로 구성된 시스템이 필요하기 때문에 시스템 구축비용이 클 수밖에 없다. 본 연구에서는 저비용으로 영상 데이터를 취득할 수 있는 UAV시스템을 구축하여 취득된 영상데이터의 처리를 통해 얻어지는 영상의 품질을 살펴보고 그 효용성을 시험해보았다. 이를 위해서 고가인 UAV를 대신해 비교적 가격이 저렴한 R/C헬기(Remote Control, 원격조종 헬기)를 플랫폼으로 선정하고, 영상데이터를 수집하는 카메라센서를 탑재하였다. 그리고 탑재된 센서가 안정적으로 데이터를 취득할 수 있도록, 센서와 플랫폼 사이에 Gimbal을 장착하였다. 이렇게 구축된 시스템을 이용하여 시험비행을 해보았으며, 그 결과 플랫폼에 탑재된 센서로부터 비교적 안정적이고 양질의 이미지를 획득할 수 있었다. 본 연구에서 구축한 R/C 헬리콥터 시스템을 통하여 저비용/고효율의 영상데이터를 취득할 수 있음을 확인하였다. 구축된 시스템은 근접한 거리에서 대상물의 영상을 취득하기 때문에 고품질의 3차원 모델데이터 생성에 매우 도움이 될 것으로 생각한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.42 no.10
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• pp.893-901
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• 2014

UAS and related technology have been mainly developed for military use but, in recent years, various types of civil UAS have been using in a variety of applications. For example, there are multicopters to shoot aerial photography, pesticide spraying unmanned helicopter, and in addition there are radio control (R/C) aircraft to be used for hobbyists. UAV has spread rapidly enough that permitted experts as well as the public can use it but the related safety regulations are not properly equipped. We investigated the status of domestic and international UAS certification system and airworthiness standards. And the trends in research for the development and modification of the certification system were studied in this paper. As a result, most countries have studied to develop the related regulations and especially ICAO has tried to develop RPAS manual, standards and recommended plans and modify the related ICAO annex through the research group, ICAO UASSG. Based on the manual and SARPs, authorities, related organizations and companies have prepared to develop and modify regulations in accordance with the actual situation of each country.

• 한국항공운항학회:학술대회논문집
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• 2004.11a
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• pp.302-307
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• 2004

무인 항공기는 지상 조종 또는 자동 비행으로 원격제어, 각종 정찰, 수송, 및 공격 등의 다양한 임무를 수행할 수 있는 비행체 및 이를 포함한 시스템을 의미한다. 무인기의 자율 운항을 위해서는 위치, 속도 및 자세 등의 항법 정보를 제공하는 항법 시스템이 반드시 필요하며 크기가 작은 무인기를 위해서는 탑재체의 중량이 적은 항법 시스템이 반드시 필요하다. 최근에는 반도체 MEMS 기술을 이용한 저가형 관성 센서들이 많이 개발 되고 있으며 이를 이용한 소형, 저전력, 고정밀 항법 시스템들이 많이 연구 개발되고 있다. GPS/AHRS 결합 시스템은 자세각, 각속도, 가속도 정보 및 GPS를 이용한 위치, 슥도 정보 제공이 가능한 시스템으로 비행체의 자율비행을 위한 정보 제공이 가능한 시스템이다. 본 논문에서는 MEMS 센서를 기반으로한 GPS/AHRS 결합 항법 시스템 설계하고 차량을 이용하여 성능을 평가한 결과를 보여준다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.7
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• pp.657-667
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• 2015

With development of technology and increase of commercial demand for unmanned aerial system(UAS), the related regulation has been prepared and complemented with the advanced countries such as Unite States and European Union(EU). However it is difficult for regulation to cover all areas of UASs practically since UASs have been developed in a variety of configurations and performance depending on their purpose. Therefore the reasonable criteria for the classification of UASs and their category should be suggested before development of the regulation. For this reason, many countries have been studying the standard for UASs classification and International Civil Aviation Organization(ICAO) makes an effort to prepare the international standards. In this paper, the new classification scheme which can complement domestic regulation is suggested based on investigation of the global trend of UAS classification and their researches.

• Journal of Satellite, Information and Communications
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• v.10 no.3
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• pp.32-37
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• 2015

Unmaned Aerial Vehical(UAV) is a flight which is automatically flying by remote control on th ground. However UAV has an advantage of control that is easy, but has an disadvantage of not hovering. By comparison, quadcopter which is one of the UAV is easily operated. Also quadcopter has hovering function and high stability. In this paper, we propose stable flight algorithm associated PID(proportional-integral-derivative) control with fuzzy contorl to implement stable quadcopter system. After getting a positioning information of the drone, This proposed system is implemented for stable flight through flight attitude control using gyro and acceleration sensor. We also propose the flight mode system to hover drone with GPS sensor.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.69-75
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• 2019

Remotely Piloted Aircraft (RPA) controls as a type of unmanned aerial vehicle (drone) is growing rapidly and its flight controller stick disposition is required standardization. We should standardize RPA drone flight control disposition because the flight pilot of RPA is hard to be trained so the flight controller stick differences impairs safety and wastes time and effort of flight controller industry. So this study researches the on-going standardization of RPA drone flight control disposition in Korea and foreign countries. Also this paper analyzes and researches of expert about RPA drone flight controller function and application of flight control mode. I accomplished expert research about standardization plan of unmanned flight control mode and confirm the necessity. Nowadays mode1 and 2 are mostly used in Korea so I carried out preference investigation for two modes. There were 4 preferences choices of RPA drone control mode necessity (importance) and recommendation of standardization modes. They answered that necessity of standardization is important considering pilot training, flight safety and positive development of drone industry. The result of standardization mode preference is that they prefer mode 2 (drone maker 86%, training facilities and research facilities 58%, government bureau 60%). Overall preference result shows that mode 1 24%, mode 1&2 16%, mode 2 60%. So they preferred mode 2 by 60%. The differences between two modes are the direction of throttle and pitch. Direction of throttle and pitch operate opposite way. They prefer mode 2 because mode 2 has similarities of manned flight control mode. Significance of this study is that it showed the necessity of standardization and flight control preference in a quantitative way. It will help drone standardization in related industries and development direction near future.

• Journal of Industrial Convergence
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• v.18 no.1
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• pp.79-85
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• 2020

Recently, the RPAS(Remote Piloted Aircraft System), by remote control and autonomous navigation, has been increasing in interest and utilization in various industries and public organizations along with delivery drones, fire drones, ambulances, agricultural drones, and others. The problems of the stability of unmanned drones, which can be self-controlled, are also the biggest challenge to be solved along the development of the drone industry. drones should be able to fly in the specified path the autonomous flight control system sets, and perform automatically an accurate landing at the destination. This study proposes a technique to check arrival by landing point images and control landing at the correct point, compensating for errors in location data of the drone sensors and GPS. Receiving from the Google Map API and learning from the destination video, taking images of the landing point with a drone equipped with a NAVIO2 and Raspberry Pi, camera, sending them to the server, adjusting the location of the drone in line with threshold, Drones can automatically land at the landing point.