• Title/Summary/Keyword: Search and Rescue drones

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Analysis of Importance of Search Altitude Control for Rapid Target Detection of Drones

  • Ha, Il-Kyu
    • Journal of information and communication convergence engineering
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    • v.16 no.2
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    • pp.78-83
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    • 2018
  • Rapidity and accuracy are important considerations when a drone is employed in a wide surveillance area to detect a target. They are more important when the scope of application is a search and rescue operation or the monitoring of natural disasters, which may require prompt warnings and response. During the actual operation of a drone, rapidity and accuracy are associated with the change in the altitude of the drone. The aim of this study is to analyze the characteristics of drones at varying altitudes and prove that altitude is a relevant factor in the performance of drones. Herein, the characteristics of the drone at varying altitudes were analyzed through several search simulations. The results suggest that a high-altitude drone is relatively advantageous compared to a low-altitude drone in a probability-based target search, and that the search altitude is also a very important and fundamental factor in target search by drones.

A Study on the Effective Utilization of Public Service Drones - Focused on Search and Rescue Drones - (공공임무용 드론의 효과적 활용방안에 관한 연구 - 실종자 수색용 드론을 중심으로 -)

  • Kang, Wook
    • Korean Security Journal
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    • no.62
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    • pp.65-86
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    • 2020
  • Drones, which were originally developed for military purpose, have expanded rapidly not only in hobbies, leisure, but also in broadcasting, filming, and public sectors, and search and rescue drones have been used to find four Korean teachers who went to Nepal for volunteer work but went missing in the avalanche. The government is encouraging the use of drones in the public sector as a policy to foster the drone industry, and the market is expected to expand in the future. This study presents improvement measures and specific directions for use of drones by public agencies at a time when the use of drones is expanding in the public sector. To that end, this research reviewed the interviews of relevant experts, analysis of drone operation regulations by public agencies, and the cases of operation of drones for searching missing persons by police. First of all, it will have to secure skilled personnel before the introduction of the drones and then determine the specifications of the drones through sufficient review, and then be put into the mission after careful examination of the drones. Next, it is necessary to draw up a base rule for drone operation and draw up a manual accordingly. Finally, drone flight has the risk of a crash, and it is essential to secure dedicated personnel for drone operation, especially since drones in the public sector are specialized in large scale compared to hobby drones to achieve their purpose. This research only conducted a detailed analysis of the National Police Agency's drones for searching for missing persons, and there are limitations to the number of people interviewed. Subsequent studies will require analysis of various public institutions, and in addition to interviews, surveys will require analysis of various data and statistics.

Analysis of Drone Target Search Performance According to Environment Change

  • Lim, Jong-Bin;Ha, Il-Kyu
    • Journal of Korea Multimedia Society
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    • v.22 no.10
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    • pp.1178-1186
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    • 2019
  • In recent years, interest in drones has grown, and many countries are developing them into a strategic industry of the future. Drones are not only used in industries such as logistics and agriculture but also in various public sectors such as life rescue, disaster investigation, traffic control, and firefighting. One of the most important tasks of a drone is to accurately identify targets in these applications. Target recognition may vary depending on the search environment of the drone. Therefore, this study tests and analyzes the drone's target recognition performance according to changes in the search environment such as the search altitude and the search angle. In addition, we propose a new algorithm that improves upon the disadvantages of the Haar cascade method, which is the existing algorithm that recognizes the target by analyzing a captured image.

Maritime Search And Rescue Drone Using Artificial Intelligence (인공지능을 이용한 해양구조 드론)

  • Shin, Gi-hwan;Kim, Jin-hong;Park, Han-gyu;Kang, Sun-kyong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.688-689
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    • 2022
  • This paper proposes the development of an AI drone equipped with motion detection and thermal imaging camera to quickly rescue people from drowning accidents. Currently, when a drowning accident occurs, a large number of manpower must be put in to find the person who needs it, such as conducting a search operation. The time required for this process is too long, and especially the night search is more difficult for a person to do directly. To solve this situation, we are going to use AI drones.

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Simulation Study to Verify Manned-Unmanned Teaming Operations in Indoor Fire Response (실내 화재 대응 시 유·무인 복합운용 검증을 위한 시뮬레이션 연구)

  • Jin-Hyeon Sung;Seong-Hyeon Ju;Bong Gu Kang;Kyung-Min Seo
    • Journal of the Korea Society for Simulation
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    • v.33 no.3
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    • pp.37-50
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    • 2024
  • In indoor disaster scenarios such as fires or gas leak, prompt rescue operations are essential to minimize expected casualties. This paper proposes a simulation model that applies the concept of Manned-Unmanned Teaming (MUM-T) for effective search and rescue in indoor fires. To this end, we first identify appropriate agents to model search and rescue operations. The proposed agent-based simulation consists of a fire and map model, an occupant model, a drone model for occupants searching, a rescuer model for searching and rescuing occupants, and a control center model that assigns missions to drones and rescuers. The agent models identified according to the MUM-T concept interact with other agents during the fire response simulation. Simulation experiments were conducted for search and rescue operations in three scenarios, one consisting of only rescuers and two with mixed rescuers and drones for MUM-T. The simulation results indicated that a drone applied to MUM-T could replace an average of four rescuers. The simulation method proposed in this study is expected to improve the efficiency of search and rescue operations in indoor disaster situations and minimizing the loss of life.

Development of a Deep-Learning Model with Maritime Environment Simulation for Detection of Distress Ships from Drone Images (드론 영상 기반 조난 선박 탐지를 위한 해양 환경 시뮬레이션을 활용한 딥러닝 모델 개발)

  • Jeonghyo Oh;Juhee Lee;Euiik Jeon;Impyeong Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1451-1466
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    • 2023
  • In the context of maritime emergencies, the utilization of drones has rapidly increased, with a particular focus on their application in search and rescue operations. Deep learning models utilizing drone images for the rapid detection of distressed vessels and other maritime drift objects are gaining attention. However, effective training of such models necessitates a substantial amount of diverse training data that considers various weather conditions and vessel states. The lack of such data can lead to a degradation in the performance of trained models. This study aims to enhance the performance of deep learning models for distress ship detection by developing a maritime environment simulator to augment the dataset. The simulator allows for the configuration of various weather conditions, vessel states such as sinking or capsizing, and specifications and characteristics of drones and sensors. Training the deep learning model with the dataset generated through simulation resulted in improved detection performance, including accuracy and recall, when compared to models trained solely on actual drone image datasets. In particular, the accuracy of distress ship detection in adverse weather conditions, such as rain or fog, increased by approximately 2-5%, with a significant reduction in the rate of undetected instances. These results demonstrate the practical and effective contribution of the developed simulator in simulating diverse scenarios for model training. Furthermore, the distress ship detection deep learning model based on this approach is expected to be efficiently applied in maritime search and rescue operations.

A study on the application of drone in firefight field (소방분야의 드론 활용방안 연구 경향 분석)

  • Ha, Kang Hun;Kim, Jae Ho;Choi, Jae Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.321-330
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    • 2021
  • By reviewing domestic and international papers, this study examines various fields in which drones are used, and based on the results, fields are suggested in which drones can be used for the work of firefighters. Overall, the research results show that drones are most commonly used for search (51%), disaster and fire monitoring (35%), and delivery (14%). Specifically, in the search field, using a drone is more efficient in terms of manpower, equipment, time, and cost than using people, which is the current practice. Secondly, in disaster and fire monitoring, drones can analyze and identify disasters and fire sites in real time. Therefore, it was confirmed that the use of drones is helpful in securing the safety of firefighters and identifying a disaster site. Third, research in logistics shows that drones can secure the so-called golden time in emergency situations by delivering rescue and relief supplies, emergency medicine, and blood in short order. In a rapidly changing disaster environment, and considering aging in firefighters, this study is meaningful in that it promotes drone utilization in the firefighting field by investigating basic data on drone utilization plans.

A Study on the Characteristics and Military Applications of Different Types of Unmanned Aerial Vehicles for Military Use (군사용 무인항공기의 유형별 특징과 군사적 활용 방안 연구)

  • Young-Kil Kim;Kyoung-Haing Lee;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.425-430
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    • 2024
  • This paper analyzes the characteristics of various types of unmanned aerial vehicles (drones) for military use and how each type can be utilized in military operations. The scope of the study focuses on the structural features, advantages and disadvantages, and military application cases of fixed-wing, rotary-wing, hybrid, and swarm drones. It also discusses the development direction of drone technology, changes in military strategy, opportunities, and challenges. The results show that each type of drone plays a crucial role in various military operations such as reconnaissance, surveillance, strike, logistics, search, and rescue. With advancements in artificial intelligence, autonomous flight, and swarm technologies, the range of drone applications is expected to expand further. However, ensuring the safety and ethics of drone operations and establishing international norms have emerged as major challenges.

Status of Navigation Satellite System Services and Signals (위성항법시스템 서비스 및 신호 현황)

  • K. Han;E. Bang;H. Lim;S. Lee;S. Park
    • Electronics and Telecommunications Trends
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    • v.38 no.2
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    • pp.12-25
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    • 2023
  • Positioning, navigation, and timing information has become a key element in the national core infrastructure and for emerging technologies, such as autonomous driving, lunar exploration, financial systems, and drones. Therefore, the provision of that information by navigation satellite systems is becoming increasingly important. Existing systems such as GPS (Global Positioning System), GLONASS (GLObal NAvigation Satellite System), and BDS (BeiDou Navigation Satellite System) also provide augmentation, safety-of-life, search & rescue and short message communication and authentication services to increase their competitiveness. Those services and the signals generated for their provision have their own purpose and requirements. This article presents an overview of existing or planned satellite navigation satellite system services and signals, aiming to help understand their current status.

Target Latitude and Longitude Detection Using UAV Rotation Angle (UAV의 회전각을 이용한 목표물 위경도 탐지 방법)

  • Shin, Kwang-Seong;Jung, Nyum;Youm, Sungkwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.1
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    • pp.107-112
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    • 2020
  • Recently, as the field of use of drones is diversified, it is actively used not only for surveying but also for search and rescue work. In these applications it is very important to know the location of the target or the location of the UAV. This paper proposes a target detection method using images taken from drones. The proposed method calculates the latitude and longitude information of the target by finding the location of the target by comparing it with the image to find the image taken by the drone. The exact latitude and longitude information of the target is calculated by calculating the actual distance corresponding to the distance of the image image using the characteristics of the pinhole camera. The proposed method through the actual experiment confirmed that the latitude and longitude of the target was accurately identified.