• Title/Summary/Keyword: AR drone

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Collision Avoidance Maneuver Design for the Multiple Indoor UAV by using AR. Drone (AR. Drone을 이용한 실내 군집비행용 충돌회피 기동 설계)

  • Cho, Dong-Hyun;Moon, Sung Tae;Jang, Jong Tai;Rew, Dong-Young
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.9
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    • pp.752-761
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    • 2014
  • With increasing of interest in quad-rotor which has excellent maneuverability recently, a various types of multi-rotor aircraft was developed and commercialized, and there are many kinds of leisure products to be easily operated. In these products, the AR.Drone manufactured by Parrot has an advantage that it is easily operated by user due to the its internal stabilization loop in the on-board computer. Thus it is possible to design the unmanned UAV system easily by using this AR.Drone and its inner loop for the stabilization. For this advantage, KARI(Korea Aerospace Research Institute) has been developing the indoor swarming flight system by using multiple AR.Drones. For this indoor swarming flight, it is necessary that not only the position controller for each AR.Drone, but also the collision avoidance algorithm. Therefore, in this paper, the collision avoidance controller is provided for the swarm flight by using these AR.Drones.

A Study on the Game Contents Design of Drone Educational Training Using AR (AR을 활용한 드론 교육 훈련 게임 콘텐츠 설계)

  • Choi, Chang-Min;Jung, Hyung-Won
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.383-390
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    • 2021
  • Recently, the drone industry is rapidly expanding as it is suggested that it will be used in various fields. As the size of the drone market grows, interest in drone-related certificates is also increasing. However, the current drone-related qualification system and education system are insufficient. Thus this study, analyzed the necessity of drone training, the features of functional games, and the effectiveness of educational training using AR through related technical studies to solve the practical difficulties of drone educational training. Later, drone educational training game contents using AR were divided into practice mode and test mode based on the drone national qualification course practical test, and the result screen was displayed at the end of the curriculum so that players could learn by level and evaluate the results on their own. In addition, constructed a hybrid processing system and network and AR operation system for response rate and response speed, implemented drone training game contents utilizing AR based on the design contents. It is expected that the use of game content using AR presented in this paper for drone training will further alleviate environmental difficulties and improve the sense of immersion in play, which will lead to a more effective drone educational training experience.

Development of AR.Drone's Controller for the Indoor Swarm Flight (실내 군집비행을 위한 AR.Drone의 제어기 개발)

  • Cho, Dong-Hyu;Moon, SungTae;Rew, DongYoung
    • Aerospace Engineering and Technology
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    • v.13 no.1
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    • pp.153-165
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    • 2014
  • Multi-rotor UAVs are utilized in various fields because of the advantages such that a hovering capability such as helicopters, a simple structure and a relatively high thrust. Recently, AR.Drone manufactured by Parrot is easily operated by beginner due to its internal stabilization loop in the on-board computer and it can be easily applied on various researches for the multi-rotor UAVs by providing an SDK(Software Development Kit). Further this platform can be suitably used for application to swarm flight since it is low cost and relatively small. Therefore, in this paper, we introduce the development process of the controller for indoor swarm flight by using the AR.Drone.

Technical Challenges in Developing AR.Drone IoT Application (AR.Drone IoT 애플리케이션 개발에서의 기술적 이슈)

  • Han, Seung Ho;Kang, Chung Hoon;Choi, Ji Ye;Kim, Moon Kwon;Kim, Soo Dong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.264-267
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    • 2014
  • 비행용 IoT 디바이스 중 하나인 Drone 은 사람이 수행하기 힘든 작업 등에 활용되면서 다양한 분야에서 주목 받고 있다. 현재 상용화가 많이 된 AR.Drone 은 기본 비행 관련 기능뿐만 아니라 GPS 센서를 이용한 정밀 비행 및 복귀, 카메라 센서 이용한 사물 추적(Object Tracking) 등의 여러 목적으로 활발히 개발이 이뤄지고 있다. 그러나 AR.Drone IoT 애플리케이션 개발은 전통적인 소프트웨어 개발과는 다르게 다양한 기술적 이슈가 발생한다. 본 논문에서는 AR.Drone IoT 애플리케이션 개발 시 발생하는 개발 및 실행 관련 기술적 이슈를 설명하고, 각 이슈의 필요성과 한계점, 발생하는 문제점들을 제시한다.

Development of Indoor Navigation Control System for Swarm Multiple AR.Drone's (실내 환경에서의 AR.Drone 군집 비행 시스템 개발)

  • Moon, SungTae;Cho, Dong-Hyun;Han, Sang-Hyuck;Rew, DongYoung;Gong, HyunCheol
    • Aerospace Engineering and Technology
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    • v.13 no.1
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    • pp.166-173
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    • 2014
  • Recently, small quadcopters have been widely used in various areas ranging from military to entertainment applications because interest in the quadcopter increases. Especially, the research on swarm flight which control quadcopters simultaneously without any collision can increase success probability of a important mission. In addition the swarm flight can be applied for demonstrating choreographed aerial maneuvers such as dancing and playing musical instruments. In this paper, we introduce multiple AR.Drone control system based on motion capture for indoor environment in which quadcopters can recognize current position each other and perform scenario based mission.

Research on the Design of Drone System for Field Support Using AR Smart Glasses Technology (AR스마트안경 기술을 접목한 현장 지원용 드론(Drone)시스템 설계에 대한 연구)

  • Lee, Kyung-Hwan;Jeong, Jin-Kuk;Ryu, Gab-Sang
    • Journal of the Korea Convergence Society
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    • v.11 no.4
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    • pp.27-32
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    • 2020
  • High-resolution images taken by drones are being used for a variety of information, including monitoring. The management of agricultural facilities still uses mostly human survey methods. Surveying agricultural facilities, surveying the appearance of agricultural facilities, and the sleeping environment have legal and environmental constraints that are inaccessible to humans. In addition, in an area where information such as 3D maps and satellite maps are outdated or not provided, human investigation is inevitable, and a lot of time and money are invested. The purpose of this research is to design and develop drone system for field support incorporating AR smart glasses technology for the maintenance and management of agricultural facilities to improve the difficulties of using existing drones. In addition, We will also suggest ways to secure the safety of personal information in order to solve the damages caused by the exposure of personal information that may occur through video shooting.

Technology Acceptance of Industry 4.0 Applying UTAUT2: Focusing on AR and Drone Services (UTAUT2를 응용한 4차 산업 기술수용에 관한 연구: 증강현실(AR)과 드론 서비스를 중심으로)

  • Kim, Ki-Bong;Chung, Byoung-Gyu
    • Journal of Information Technology Applications and Management
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    • v.26 no.6
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    • pp.29-46
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    • 2019
  • This study analyzed the factors influencing the technology acceptance of the general public in the drones and ARs, one of the key technologies of the industry 4.0. The theoretical basis was the extended unified theory of acceptance and use of technology model(UTAUT2), which uses performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation as factors common to both services. The price value factor was excluded considering that most ARs were free, and the perceived risk factors, including privacy, which were not in UTAUT2, were included because they are important factors for ICT technology acceptance. The hypothesis was tested by structure equation model. Social influence and hedonic motivation had a positive(+) effect on intention to use technology. On the other hand, in the case of effort expectancy, neither the AR nor the drone had a significant influence on intention to use technology. Furthermore, performance expectancy had a positive(+) effect on intention to use in AR, but no significant influence was found out in drones. On the contrary, in the case of the facilitating conditions, the influence of the drones was positive (+), but the relation of AR was not investigated. The perceived risk was tested for the negative (-) influence of use intention of AR, but no significant relationship was found out for the drones. Among the significant influencing factors, hedonic motivation was the most powerful factor in AR and drones. Theoretical and practical implications are presented based on these results.

Quadrotor altitude control with experimental data-based PID controller (실험 데이터 기반의 PID제어기를 이용한 쿼드로터의 고도제어)

  • Ho-Sung Lee;Ji-Sun Park;Ho-Lim Choi
    • Journal of IKEEE
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    • v.28 no.2
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    • pp.136-144
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    • 2024
  • In this paper, we propose a PID controller for altitude control of quadrotor system with experimental analysis. The Routh-Hurwitz test is applied to analyze the system to which our proposed controller is applied. We also summarize experimental data in which the gain values of kP, kI, and kD are changed using MATLAB and Simulink based on mathematical modeling of the quadrotor system. Based on the summarized experimental data, we analyze the effect of changes in each gain values (kP, kI, kD) of PID controller on altitude control of quadrotor, and present an algorithm for tuning the PID controller gain values. The PID controller with the proposed algorithm is applied to AR.Drone system, subsequently and result are verifised through experiments.

VR AR-based campus map using Drone 'SNUT MAP' (드론을 이용한 가상 현실 및 증강 현실 기반 3D 캠퍼스 지도 'SNUT MAP')

  • Kim, Subin;Kim, Eunju;Lee, Eunbi;Kim, Dongho
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.370-372
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    • 2020
  • 가상 현실을 이용한 다양한 응용기술이 등장함에 따라, 그를 이용한 서비스와 상용 애플리케이션이 개발되고 있다. VR, AR 사용자가 증가하고, 주위에서도 쉽게 이러한 기술을 접할 수 있게 되었다. 이에 본 논문은 2D로 표현되는 기존의 지도 사용을 어려워하는 사람들의 문제점을 해결하기 위하여 VA과 AR-based 3D를 통합할 수 있는 지도를 연구하고 'SNUT MAP'을 개발하였다. 'SNUT MAP'을 개발하는 데 Unity 3D와 Dronedeploy, Blender, Vuforia, AR+GPS location, Google maps API를 사용하였다.

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Fiducial Marker Detection for Vision-based Collaborating System of Drone and Ground Vehicle (드론과 지상 로봇의 비전 기반 협업 시스템을 위한 기준 마커 검출)

  • Beck, Jong-Hwan;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.965-968
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    • 2017
  • 드론이라고도 불리는 소형 무인기는 비전 시스템을 대부분 갖추고 있어 비전을 응용한 기술이 적합한 플랫폼이며 특히 랜드 마크 기반 위치 추적 방법은 드론과 지상 로봇과 같은 다른 플랫폼 간의 협업을 위한 효율적인 방법 중 하나이다. 본 논문에서는 드론과 지상 로봇의 협업 시스템을 위하여 기준 마커를 검출하는 연구에 대하여 서술한다. 기준 마커 중 하나인 ArUco는 바코드보다 간단한 내부 코드를 가지고 있다. 기준 마커의 카메라 캘리브레이션을 통하여 카메라와 마커의 자세 추정이 가능하다. 성능 평가 실험을 통하여 형태가 간단한 마커, AprilTags, ArUco 간 성능 비교를 하였고 92%의 정확도를 얻어내었으며 ArUco의 적합한 이진화 알고리즘을 제시하였다.