• Journal of Advanced Marine Engineering and Technology
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• 제40권9호
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• pp.830-835
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• 2016

미국을 중심으로 상업용 무인비행체에 대한 규제가 명시된 조건하에 완화되어 관련 산업의 발전이 예상된다. 이에 따라 2017년에 미국에서 약 60만대에 이르는 무인비행체가 운용될 것으로 예상되지만 안전사고의 문제로 무인비행체의 자율 비행에 제약이 따른다. 이러한 문제를 해결하기 위해서 무인비행체의 충돌을 방지하고 경로를 탐색하는 연구가 진행되었으나, 경로 탐색 과정에서 상황에 따른 동적인 대처가 불가능하고 효율적인 경로 유도가 되지 못하는 단점을 가지고 있다. 따라서 본 논문에서는 해당 문제를 해결하기 위하여 차량 네트워크를 이용한 중앙관리방식의 무인비행체 경로 유도 시스템을 제안하고자 한다. 제안된 방식은 차량 통신용 네트워크가 경로 탐색의 주체가 되어 무인비행체를 데이터 패킷과 같이 라우팅의 대상으로 처리하여, 무인비행체가 직접 처리할 경로 탐색 과정을 줄이기 때문에 무인비행체의 에너지 효율성을 증가시킬 수 있고, 동일한 네트워크 내 무인비행체들의 전체적인 비행 흐름을 미리 파악하여 갑작스런 혼잡현상을 미연에 대비할 수 있으므로 무인비행체 라우팅 효율을 개선할 수 있다.

• 항공우주시스템공학회지
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• 제18권3호
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• pp.1-7
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• 2024

UAV (Unmanned Aerial Vehicle)는 물류, 산업, 운송 등 다양한 산업에서 그 활용처가 확대되고 있다. 하지만 다수의 UAV를 운용하기 위해서는 안전하고 효율적인 UAV 자가구성 통신망을 계획하는 것이 우선적으로 이루어져야 한다. 본 연구에서는 보로노이 다이어그램을 활용하여 안전하고 효율적인 UAV 자가구성 통신망을 계획하는 방법을 다음 3가지 단계로 제시한다: 1)장애물들을 이용한 보로노이 다이어그램 생성, 2)경로를 생성하기 위해 고려해야 할 장애물 선별, 3)최적 경로 계획 및 경로 출력. 본 연구에서 제시한 방법은 실제 운용 시 UAV들의 최적 통신경로를 계획하는 것이 실시간으로 가능한 것을 실험을 통해 검증하였다.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.1088-1098
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• 2020

This paper proposes an obstacle avoidance method using a depth polar grid. Depth information is a crucial factor for determining the safe path for collision-free navigation of unmanned aerial vehicles (UAVs) as it can perceive the distance to the obstacles effectively. However, the existing depth-camera-based approaches for obstacle avoidance require computational y expensive path planning algorithms. We propose a simple navigation method using the polar-grid of the depth information obtained from the camera with narrow field-of-view(FOV). The effectiveness of the approach was validated by a series of experiments using software-in-the-loop simulation in a realistic outdoor environment. The experimental results show that the proposed approach successfully avoids obstacles using a single depth camera with limited FOV.

• 제어로봇시스템학회논문지
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• 제11권3호
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• pp.240-245
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• 2005

In this paper, planar waypoint guidance synthesis for UAVs using the LQ optimal impact-angle-control guidance law is proposed. We prove that the energy-optimal control problem with the constraint of passing through the waypoints is equivalent to the problem of finding the optimal pass angles on each waypoint of the optimal impact-angle-control law. The optimal pass angles can be obtained as a numerical solution of the simple pass angle optimization problem that requires neither input parameterization nor constraints. The trajectory obtained by applying the optimal impact-angle-control law with these optimal pass angles becomes energy optimal.

• Journal of Information Processing Systems
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• 제16권1호
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• pp.42-48
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• 2020

This paper proposes an operating system architecture for unmanned aerial vehicle (UAV), which is secure against root exploit, resilient to connection loss resulting in the control loss, and able to utilize common applications used in Linux. The Linux-based UAVs are exposed to root exploit. On the other hand, the microkernel-based UAVs are not able to use the common applications utilized in Linux, even though which is secure against root exploit. For this reason, the proposed architecture uses a virtualized microkernel on the Linux operating system to isolate communication roles and prevent root exploit. As a result, the suggested Operating system is secure against root exploit and is able to utilize the common applications at the same time.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.32-39
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• 2023

This paper provides a comprehensive overview of UAV classification, tracking, and detection, offering researchers a clear understanding of these fundamental concepts. It elucidates how classification categorizes UAVs based on attributes, how tracking monitors real-time positions, and how detection identifies UAV presence. The interconnectedness of these aspects is highlighted, with detection enhancing tracking and classification aiding in anomaly identification. Moreover, the paper emphasizes the relevance of simulations in the context of drones and UAVs, underscoring their pivotal role in training, testing, and research. By succinctly presenting these core concepts and their practical implications, the paper equips researchers with a solid foundation to comprehend and explore the complexities of UAV operations and the role of simulations in advancing this dynamic field.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.369-370
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• 2023

Although the construction industry has become highly advanced, traditional accidents still occur on construction sites, prompting numerous studies and systems aimed at accident prevention using smart construction technology. This study is an exploratory investigation of utilizing unmanned aerial vehicles (UAVs) for safety management. The study aims to verify harmful and hazardous factors that UAVs can detect on construction sites, classify management factors, and define improvement measures to present a checklist for each process. Through this, we hope that smart construction technology will be further expanded and applied for on-site safety management.

• Journal of information and communication convergence engineering
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• 제17권1호
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• pp.84-90
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• 2019

Applications of unmanned aerial vehicles (UAVs) in the military environment have become popular because they require minimum human contribution and can avoid accidents during missions. UAVs are employed in various missions such as reconnaissance, observation, aggression, and protection. Consequently, counter-measures, known as anti-drone technologies, have been developed as well. In order to protect against threats from anti-drone technologies and enhance the survivability of UAVs, this study proposes an evasive measure. The proposed bio-inspired evasive maneuver of a UAV mimics a dragonfly's irregular flight. The unpredictable UAV movement is able to confuse enemies and avoid threats, thereby enhancing the UAV's survivability. The proposed system has been implemented on a commercial UAV platform (AR Drone 2.0) and tested in a real environment. The experiment results demonstrate that the proposed flight pattern has larger displacement values compared to a regular flight maneuver, thus making the UAV's position is difficult to predict.

• 로봇학회논문지
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• 제18권1호
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• pp.1-9
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• 2023

This paper presents an optimal path planning strategy for aerial searching and surveying of a user-designated area using multiple Unmanned Aerial Vehicles (UAVs). The method is designed to deal with a single unseparated polygonal area, regardless of polygonal convexity. By defining the search area into a set of grids, the algorithm enables UAVs to completely search without leaving unsearched space. The presented strategy consists of two main algorithmic steps: cellular decomposition and path planning stages. The cellular decomposition method divides the area to designate a conflict-free subsearch-space to an individual UAV, while accounting the assigned flight velocity, take-off and landing positions. Then, the path planning strategy forms paths based on every point located in end of each grid row. The first waypoint is chosen as the closest point from the vehicle-starting position, and it recursively updates the nearest endpoint set to generate the shortest path. The path planning policy produces four path candidates by alternating the starting point (left or right edge), and the travel direction (vertical or horizontal). The optimal-selection policy is enforced to maximize the search efficiency, which is time dependent; the policy imposes the total path-length and turning number criteria per candidate. The results demonstrate that the proposed cellular decomposition method improves the search-time efficiency. In addition, the candidate selection enhances the algorithmic efficacy toward further mission time-duration reduction. The method shows robustness against both convex and non-convex shaped search area.

• Smart Structures and Systems
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• 제13권6호
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• pp.1065-1094
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• 2014

Civil engineers always face the challenge of uncertainty in planning, building, and maintaining infrastructure. These works rely heavily on a variety of surveying and monitoring techniques. Unmanned aerial vehicles (UAVs) are an effective approach to obtain information from an additional view, and potentially bring significant benefits to civil engineering. This paper gives an overview of the state of UAV developments and their possible applications in civil engineering. The paper begins with an introduction to UAV hardware, software, and control methodologies. It also reviews the latest developments in technologies related to UAVs, such as control theories, navigation methods, and image processing. Finally, the paper concludes with a summary of the potential applications of UAV to seismic risk assessment, transportation, disaster response, construction management, surveying and mapping, and flood monitoring and assessment.