• Title/Summary/Keyword: Drone image

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3 Dimensional Augmented Reality Flight for Drones

  • Park, JunMan;Kang, KiBeom;Jwa, JeongWoo;Won, JoongHie
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.2
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    • pp.13-18
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    • 2018
  • Drones are controlled by the remote pilot from the ground stations using the radio control or autonomously following the pre-programmed flight plans. In this paper, we develop a method and an optimal path search system for providing 3D augmented reality flight (ARF) images for safe and efficient flight control of drones. The developed system consisted of the drone, the ground station and user terminals, and the optimal path search server. We use the Dijkstra algorithm to find the optimal path considering the drone information, flight information, environmental information, and flight mission. We generate a 3D augmented reality flight (ARF) image overlaid with the path information as well as the drone information and the flight information on the flight image received from the drone. The ARF image for adjusting the drone is generated by overlaying route information, drone information, flight information, and the like on the image captured by the drone.

Effect of drone's moving image on audience's flow, arousal of interest, emotional state (드론의 무빙 영상이 수용자의 몰입도, 흥미유발, 감정상태에 미치는 영향)

  • Park, Dug-Chun
    • Journal of Digital Convergence
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    • v.16 no.4
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    • pp.313-319
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    • 2018
  • This experimental research explores the effect of drone's moving image on media audience's flow, arousal of interest and emotional state. Most previous researchers of media image effect insisted that camera movement should be abstained in order to give audience the feeling that movement of figures is in the contents story itself. and camera movement also can disturb natural viewing of audience. For the purpose of finding the effect of drone's moving image on media audience's flow, arousal of interest and emotional state, 2 groups of subjects composed of 56 university students were exposed to 2 different video clips, one with moving drone's image, the other with hovering drone's image. After this experiment, Questions which were designed to measure audience's flow, arousal of interest and emotional state were asked and analysed. This research found that subjects exposed to moving drone's image felt more interested and more positive emotional state than subjects exposed to hovering drone's image. However meaningful effect of drone's moving image on audience's flow was not found.

How to utilize vegetation survey using drone image and image analysis software

  • Han, Yong-Gu;Jung, Se-Hoon;Kwon, Ohseok
    • Journal of Ecology and Environment
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    • v.41 no.4
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    • pp.114-119
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    • 2017
  • This study tried to analyze error range and resolution of drone images using a rotary wing by comparing them with field measurement results and to analyze stands patterns in actual vegetation map preparation by comparing drone images with aerial images provided by National Geographic Information Institute of Korea. A total of 11 ground control points (GCPs) were selected in the area, and coordinates of the points were identified. In the analysis of aerial images taken by a drone, error per pixel was analyzed to be 0.284 cm. Also, digital elevation model (DEM), digital surface model (DSM), and orthomosaic image were abstracted. When drone images were comparatively analyzed with coordinates of ground control points (GCPs), root mean square error (RMSE) was analyzed as 2.36, 1.37, and 5.15 m in the direction of X, Y, and Z. Because of this error, there were some differences in locations between images edited after field measurement and images edited without field measurement. Also, drone images taken in the stream and the forest and 51 and 25 cm resolution aerial images provided by the National Geographic Information Institute of Korea were compared to identify stands patterns. To have a standard to classify polygons according to each aerial image, image analysis software (eCognition) was used. As a result, it was analyzed that drone images made more precise polygons than 51 and 25 cm resolution images provided by the National Geographic Information Institute of Korea. Therefore, if we utilize drones appropriately according to characteristics of subject, we can have advantages in vegetation change survey and general monitoring survey as it can acquire detailed information and can take images continuously.

Construction of Coastal Surveying Database and Application Using Drone

  • Park, Joon Kyu;Lee, Keun Wang
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.3
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    • pp.197-202
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    • 2018
  • Drone has been continuously studied in the field of geography and remote sensing. The basic researches have been actively carried out before the utilization in the field of photogrammetry. In Korea, it is necessary to study the actual way of research in accordance with the drone utilization environment. In particular, analysis on the characteristics of DSM (Digital Surface Model) generated through drone are needed. In this study, the characteristic of drone DSM as a data acquisition method was analyzed for coastal management. The coastal area was selected as the study area, and data was acquired by using drone. As a result of the study, the terrain model and the ortho image of coastal area were produced. The accuracy of UAV (Unmanned Aerial Vehicle) results were very high about 10cm at check points. However, concavo-convex shapes appeared in very flat areas such as tidal flats and roads. To correct this terrain model distortion, a new terrain model was created through data processing and the results were evaluated. If additional studies are carried out and the construction and analysis of terrain model using drone image is done, drone data for coastal management will be available.

Drone Image Quality Analysis According to Flight Plan

  • Park, Joon Kyu;Lee, Keun Wang
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.2
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    • pp.81-91
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    • 2021
  • Drone related research has been increasing recently due to the development and distribution of commercial unmanned aerial vehicles. However, most of the previous studies focused on the accuracy and utility of drone surveying. For drones, the resolution of the result is determined according to the flight altitude, but since 70% of Korea is mountainous, it is necessary to analyze the quality of the drone image according to the flight plan. In this study, the quality of drone photogrammetry results according to flight plans was analyzed. The flight plan was established by fixed altitude and considering the height of the terrain. Images were acquired for both cases and data was processed to generate ortho images. As a result of evaluating the accuracy of the generated ortho image, the accuracy was found to be -0.07 ~ 0.09m. The accuracy of Case I and Case II did not show a significant difference, but for RMSE, Case I showed a good value. These results indicate that the drone flight plan affects the quality of the results. Also, when flying at a fixed altitude, II showed a lower value than the originally set overlap according to the altitude of the object. In future surveys using drones, flight planning taking into account the height of the object will contribute to the improvement of the quality of the results.

The Image Contents Production Techniques Using Drone (드론을 이용한 영상콘텐츠 제작기법)

  • Park, Sung-Dae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.3
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    • pp.491-498
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    • 2018
  • As unmanned aerial vehicle(UVA), drone means a flying object that could aviate the route entered by a program in advance or remotely-controlled when a pilot is not on board. Drone that has been initially developed for the military purpose is currently used for diverse areas such as agricultural industry, leisure activity, logistics service, and life-saving area. Out of these areas, the shooting drone equipped with a camera is actively used for diverse image contents production areas including film and broadcasting area. This paper examines the characteristics of drone for the purpose of shooting, and also handles the shooting techniques using drone. Especially, this study aims to suggest and discuss the methods to shoot diverse camera working used by the existing image shooting with the use of drone after examining the operation of shooting drone used for the image contents production area.

Development of a Pixel-based Area Measurement Program Using Drone and Camera Module (카메라 모듈과 드론을 이용한 면적 자동 측정 프로그램 개발)

  • Kim, Jung Hwan;Kim, Shik
    • IEMEK Journal of Embedded Systems and Applications
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    • v.14 no.3
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    • pp.157-163
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    • 2019
  • As the drone industry has grown greatly in recent years, drones are being used or developed in many industrial fields such as image shooting, pesticide application, delivery service, food delivery etc. In this paper, therefore, we developed a program that takes a user's desired area at a certain height using a camera-equipped drone and obtains the area of the zone the user wants through image processing. The first user selects an area or a path. Afterwards, the drone flies and takes pictures, and then measures the user's needs. A digital image taken at a constant height and with the same resolution is composed of pixels, the area can be calculated easily if we know the number of pixels in the zone the user wants. Particularly, it is easy to calculate the area of various shaped zones, not terrain shapes such as triangles and squares. In addition, the total area of specific places of the entire zone can be calculated. With the program of this paper, anyone can easily calculate the area of the place the user wants using a drone rather than calculating the area through difficult formulas or specialized equipment.

A Study on Mapping Levees Using Drone Imagery (드론영상을 이용한 하천 제방 매핑에 관한 연구)

  • Choung, Yun-Jae;Park, Hyeon-Cheol;Choi, Soo-Young
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.30-30
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    • 2018
  • Research on mapping levees is an important task for assessing levee stability. The drone imagery acquired in river basins is useful for generating real-time levee maps. This research proposes a robust methodology for mapping levees in river basins using the drone imagery. In the first step, the multiple imagery taken in the test bed was acquired by the drone. Then, the orthorectified image and DEM (Digital Elevation Model) were generated by the photogrammetry and image processing process. Finally, the significant features on levee surfaces such as levee tops, levee lines, levee slopes, eroded areas were detected from the generated DEM and orthorectified image by manual labors and automatic methods. In future research, the automatic procedure for identifying the significant levee features from the drone imagery would be proposed.

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Convolutional Neural Network-based Real-Time Drone Detection Algorithm (심층 컨벌루션 신경망 기반의 실시간 드론 탐지 알고리즘)

  • Lee, Dong-Hyun
    • 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.

Analysis of Surface Image Velocity Field without Ground Control Points using Drone Navigation Information (드론의 비행정보를 이용한 지상표정점 없는 표면유속장 분석)

  • Yu, Kwonkyu;Lee, Junhyeong
    • Ecology and Resilient Infrastructure
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    • v.9 no.3
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    • pp.154-162
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    • 2022
  • In this study, a technique for estimating water surface velocity fields in the Universal Transverse Mercator coordinate system using the GPS information of a propagating drone but not ground control points is developed. First, we determine the image direction in which the upper side of an image is directed based on the navigation information of the drone. Subsequently, we assign the start and end frames of the video used and determine the analysis range. Using these two frames, we segment the measurement cross-section into a few subsections at regular intervals. At these subsections, we analyze 30 frame images to create spatio-temporal volumes for calculating the velocity fields. The results of the developed method (propagating drone surface image velocimetry) are compared with those of the existing method (hovering drone surface image velocimetry), and relatively good agreement is indicated between both in terms of the velocity fields.