• ETRI Journal
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• v.43 no.4
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• pp.580-593
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• 2021

When operating in confined spaces or near obstacles, collision-free path planning is an essential requirement for autonomous exploration in unknown environments. This study presents an autonomous exploration technique using a carefully designed collision-free local planner. Using LiDAR range measurements, a local end-point selection method is designed, and the path is generated from the current position to the selected end-point. The generated path showed the consistent collision-free path in real-time by adopting the Euclidean signed distance field-based grid-search method. The results consistently demonstrated the safety and reliability of the proposed path-planning method. Real-world experiments are conducted in three different mines, demonstrating successful autonomous exploration flights in environment with various structural conditions. The results showed the high capability of the proposed flight autonomy framework for lightweight aerial robot systems. In addition, our drone performed an autonomous mission in the tunnel circuit competition (Phase 1) of the DARPA Subterranean Challenge.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.9-16
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• 2021

In this paper, we propose a building exploration drone that can be used for a digital twin-based building control system. The existing building control system using a fixed position sensor box has a problem that a management blind spot occurs. And because people patrol themselves, it takes a lot of human resources. In this paper, a drone equipped with a temperature and humidity sensor and a gas leak detection sensor is used to search the internal path of the building centering on the control blind spot. It also aims to solve the problem of the building control system by transmitting information in real time along with the video. In addition, it has a stable hovering function using an optical floor sensor and can be applied to an existing digital twin-based building control system. The results of this study are believed to be of great help in improving the quality of digital twin control systems using drones.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.53-60
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• 2022

Recently, as the amount of data collected by drones has rapidly increased, it is necessary to support cloud computing technology that can securely and efficiently store and process data. However, various security threats such as stealing, leaking, or tampering with data communicated by drones can occur due to attackers. Therefore, there is a need for security technology to provide secure communication of data collected from drones. Among various security technologies, the KP-ABE scheme, which is attribute-based encryption, is a security technology that satisfies two characteristics: data encryption and user access control. This paper researched the KP-ABE scheme and proposed a secure data access control scheme to the drone environment. This proposed scheme provides confidentiality and integrity of data communicated in a drone environment and secure access control and availability. In addition, it provides a fast ciphertext search and constant size ciphertext among the requirements to be provided in the KP-ABE scheme.

• 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.

• 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.

• The Journal of Information Systems
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• v.28 no.4
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• pp.49-64
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• 2019

Purpose The purpose of this paper is to observe the relative priorities of importances among IT services for Smart tourism as well as the relative priorities of importances among ways for developing the IT Services. Design/methodology/approach AHP analysis model was designed with 3 layers in order to recognize the relative importances priorities of IT services and the ways developing the IT services in Smart tourism. The factors in the top layer consist of Pre-trip IT services, During-trip IT services and Post-trip IT services. The lower factors in second layer of the Pre-trip IT services consists of Tourism information search, Online reservation and Price comparison. The lower factors of the During-trip IT services consists of Context recognition, Virtual Reality and Drone Application. The lower factors of the Post-trip IT services consists of Interactive Sharing and Tagging. The factor of third layer, the ways of developing the IT services consist of Company leading, University leading and Industry-University Collaboration. The structural questionnaire based on the AHP analysis model was designed and used to survey experts in IT and tourism areas. The collected data by the question investigation was analyzed by AHP analysis technique. Findings The importance priority of During-trip IT service was highest among in the three type IT services of tourism life cycle. The importance priority of Price comparison service was highest among IT services for Pre-trip. The importance priority of the Context recognition service was highest among IT services for During-trip. The Interactive sharing service was highest among IT services for Post-trip. It would be confirmed for the IT service development ways of Company leading to be suitable for most of the It services, such as Tourism information search, Online reservation, Price comparison, Context recognition, Virtual reality, Drone application, Interactive sharing.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.408-415
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• 2017

The aim of this study is to discuss some of the prominent ideas which use drone for police works. Focusing on the extent of the utility and practicability of using drone in policing, this paper attempts to address both positive and negative aspects in conjunction with related statutes and regulations. This study uses a qualitative case study approach and offers three practical implications including: (1) enacting a law that covers using drones in policing, (2) hiring technical professionals or training police officers to prevent illegal drones and to implement a variety of policing strategies, and (3) collecting data and information on crime and criminals and then developing the best way to respond to these problems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.372-378
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• 2020

Drones, which show strong growth in the fourth industry, are commonly used for disaster response. In the event of an actual disaster, local governments should carry out 13 cooperative functions to respond to the disaster, but there are difficulties in collecting on-site information in places where it is difficult for people to access or grasp the situation. Based on the 13 collaborative functions that are essential for operations in the event of a disaster, a utilization plan of highly utilized drones was derived. Through the analysis of overseas cases and drone utilization by each department, a total of 10 out of 13 collaborative functions of the Disaster and Safety Countermeasures Headquarters (disaster situation management, emergency life safety support, emergency recovery, disaster resource support, traffic measures, medical and quarantine services, disaster site environment maintenance, social order maintenance, search, rescue, and emergency) were derived. These results can enhance the efficiency of the disaster response by presenting a plan to utilize drone images for each function.

• Convergence Security Journal
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• v.17 no.5
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• pp.163-178
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• 2017

Recently, drone applications have been expanded not only in the military and security fields but also in daily life such as commercial and sports, and there is also a growing interest in using drone for private security work. This study focuses on the discussion on the use of drones in private security, drones regulation in the related laws such as the Private Security Act and the Aviation Safety Law, and major issues in accepting the Private Security Act. First, it focuses on the scope of private security work as defined by the Private Security Act, focusing on the use of drones as surveillance, information gathering, guidance and warning services, evacuation services, search and related material transport services, respectively. Second, the related laws for the use of drones in private security work include the Private Security Act and the Aviation Safety Act. However, the Private Security Act does not prescribe the current drones and the use of drones is regulated by Aviation Safety Act. Third, it is necessary to adjust the qualifications and authority range of security guards in the Private Security Act, to accept the drones as a type of security equipment, and to consider how countermeasures against threat types using drones should be accepted in the Private Security Act.

• 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.