류경돈 Kyung-don Ryu

DOI: JANT Vol.28(No.4) 379-385, 2024

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INS(inertial navigation system) aligns itself using gravity and Earth’s rotational rate from accelerometers and gyro sensors when stationary. Typically, ZUPT(zero velocity update), which is based on a linear error model Kalman filter, is used when it is stationary. However, such algorithms assume stationary conditions, leading to increased alignment errors or filter divergence during maritime mooring due to wave-induced motion. This paper designs a mooring alignment algorithm for maritime platforms using a Kalman filter, which uses large heading angle error model and an initial position correction technique. And it is validated by simulation. Furthermore, it is confirmed that applying this to a rotational INS dramatically improves performance through the principle of bias cancellation.

노치성 Chi-sung Roh , 김다니엘 Daniel Kim

DOI: JANT Vol.28(No.4) 386-392, 2024

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This paper constructs a precise dynamics model using flightlab, a specialized program for rotor modeling and performance analysis, to simulate urban air mobility (UAM). flightlab is well-suited for detailed modeling of UAM, particularly requiring detailed aerodynamic characteristics under high-altitude and urban wind conditions. The study focuses on implementing and analyzing a lift-cruise UAM model with distributed propulsion using flightlab. The lift-cruise model integrates motors for vertical take-off and fixed-wing flight. Given the limited specific examples of such UAM models in flightlab and challenges in evaluating with conventional fixed-wing or drone models, this research implements and verifies the lift-cruise model using matlab, comparing its performance against flightlab results to validate the modeling approach. This research aims to explore the potential of flightlab for detailed UAM modeling and contribute to technological advancements in future urban transportation.

최경철 Kyung-chul Choi , 김지훈 Ji-hun Kim , 최낙민 Nak-min Choi , 백경훈 Gyong-hoon Baek

DOI: JANT Vol.28(No.4) 393-399, 2024

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The digital map computer for advanced air vehicles (AAV) must be high-performance, lightweight, portable, and modular. It should receive data on terrain, weather, and obstacles from external modules to display digital maps accurately. This necessitates robust communication capabilities with external devices via an Ethernet interface and the ability to output digital map visuals clearly through an high-defintion multimedia Interface (HDMI) or digital visual interface (DVI) interface. This paper presents the design of both hardware and software architecture that fulfills these critical requirements for an AAV digital map system. Additionally, it establishes the minimum specifications needed and verifies the suitability of the designed digital map computer through rigorous performance measurements and testing. By ensuring these standards, the digital map computer can reliably support the complex navigational needs of AAV, enhancing operational efficiency and safety.

우지원 Ji Won Woo , 김양곤 Yang Gon Kim , 안정우 Jung Woo An , 박상윤 Sang Yun Park , 남경래 Gyeong Rae Nam

DOI: JANT Vol.28(No.4) 400-407, 2024

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The role of unmanned aerial vehicles (UAVs) in modern warfare is increasingly significant, making their capacity for autonomous missions essential. Accordingly, autonomous target detection/identification based on captured images is crucial, yet the effectiveness of AI models depends on image sharpness. Therefore, this study describes how to determine the field of view (FOV) of the camera and the flight position of the UAV considering the required spatial resolution. Firstly, the calculation of the size of the acquisition area is discussed in relation to the relative position of the UAV and the FOV of the camera. Through this, this paper first calculates the area that can satisfy the spatial resolution and then calculates the relative position of the UAV and the FOV of the camera that can satisfy it. Furthermore, this paper propose a method for calculating the effective range of the UAV's position that can satisfy the required spatial resolution, centred on the coordinate to be photographed. This is then processed into a tabular format, which can be used for mission planning.

심영민 Yeong-min Sim , 황예승 Ye-seung Hwang , 전재욱 Jae-wook Chun , 이민재 Min-jae Lee , 문우춘 Woo-choon Moon

DOI: JANT Vol.28(No.4) 408-419, 2024

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Currently, the airport is expected to improve flight punctuality and operational efficiency after establishing A-CDM, which provides a foundation for mutual cooperation based on an information sharing system among stakeholders. An important element of the A-CDM is to share time information generated by each stakeholder from the arrival of an aircraft to ground operations and departure of the aircraft, thereby supporting timely arrival and departure of aircraft and improving the efficiency and punctuality of airport operations. In the UAM system, a vertiport that plays a role similar to an airport also needs to establish a system to share time information generated by each stakeholder for efficient operation of limited resources. In this regard, a method is needed to identify time information that needs to be shared by each stakeholder and apply technology to share it. In this paper, we propose an application method for system technology that classifies and mutually shares time information generated by stakeholders related to Vertiport operation according to data characteristics.

강광천 Kwang-chun Kang , 신수영 Su-young Shin , 윤형근 Hyoung-keun Yoon , 윤태경 Tae-gyeong Yun

DOI: JANT Vol.28(No.4) 420-427, 2024

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This study proposes a method for utilizing flight and flow - information for a collaborative environment (FF-ICE) for flight plan management based system wide information management (SWIM) technology for the safe and efficient operation of urban air mobility (UAM). SWIM provides a standardized infrastructure for air traffic data, enabling seamless information exchange among various stakeholders. This study purposed flight plan procedures for UAM operation regarding submitting preliminary and filed flight plans, validation and operational evaluation processes, state management, and the roles of each stakeholder. The system developed through the SWIM infrastructure for low-density urban air mobility traffic management. The study are expected to significantly enhance the safety and efficiency of UAM operations through strategic flight plan management methods.

김준성 Joon-sung Kim , 심재용 Jae-yong Sim , 장수림 Su-lim Jang , 임승찬 Seung-chan Lim , 정윤호 Yunho Jung

DOI: JANT Vol.28(No.4) 428-435, 2024

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In this paper, a human activity regeneration (HAR) system based on multiple input multiple output frequency modulation continuous wave (MIMO FMCW) radar was designed and implemented. Using point cloud data from MIMO radar sensors has advantages in terms of privacy, safety, and accuracy. For the implementation of the HAR system, a customized neural network based on PointPillars and depthwise separate convolutional neural network (DS-CNN) was developed. By processing high-resolution point cloud data through a lightweight network, high accuracy and efficiency were achieved. As a result, the accuracy of 98.27% and the computational complexity of 11.27M multiply-accumulates (Macs) were achieved. In addition, the developed neural network model was implemented on Raspberry-Pi embedded system and it was confirmed that point cloud data can be processed at a speed of up to 8 fps.

김도현 Do-hyun Kim , 장효석 Hyo-seok Chang

DOI: JANT Vol.28(No.4) 436-441, 2024

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Urban air mobility (UAM) is an innovative air traffic management system that utilizes electric vertical take off and landing aircraft(eVTOL) to transport passengers and cargo in urban areas. The corridor can be defined as the airspace that the vehicle operates in and must be collaboratively managed. For the stable operation of UAM, it is essential to have strategic separation and a collaborative decision-making(CDM) system for cooperation and coordination among stakeholders. This study examines the application of time-based milestones from traditional air traffic flow management to the UAM system to ensure safe traffic volume and optimize air traffic flow. For traffic flow management, the milestone time information is categorized into a total of 13 key milestone time indicators based on the UAM movement status, and the sharing entities providing each time indicator and the flow of milestones are defined. Emphasizing the need for a CDM to balance UAM traffic and capacity, sharing and managing milestone information among stakeholders is expected to improve UAM aircraft departure flow and enhance operational efficiency.

김경욱 Kyungwook Kim , 윤형근 Hyoung-keun Yoon

DOI: JANT Vol.28(No.4) 442-449, 2024

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In this paper, we aim to propose a comprehensive framework for cyber threat analysis of urban air mobility (UAM) or advanced air mobility (AAM) communications, navigation, surveillance, and information system infrastructure. By examining potential vulnerabilities and threat vectors, we seek to enhance the security and resilience of UAM infrastructure. We conduct a detailed cyber threat analysis to identify and categorize various types of cyber threats, assess their impact on the CNSi systems, and evaluate the vulnerabilities within these systems that may be exploited by such threats. This analysis will provide valuable insights for stakeholders involved in the deployment and operation of UAM systems, ultimately contributing to the safe and efficient integration of urban air transportation.

윤태경 Tae Gyeong Yun , 오수환 Soohwan Oh

DOI: JANT Vol.28(No.4) 450-458, 2024

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Urban air mobility (UAM) shows great promise for commercialization, yet the technical foundations for ensuring safety in large-scale operations remain a challenge. The purpose of this paper was to analyze current air traffic conflict management techniques in order to develop strategies for implementing strategic conflict management within UAM traffic management systems. We found that UAM conflict management can benefit from demand and capacity balancing techniques, and a system-wide approach is essential. Specifically, the use of data sharing and probabilistic methods is essential for addressing flight time uncertainty and large-scale UAM operations effectively.