• Title/Summary/Keyword: 궤적기반

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A Precise Trajectory Prediction Method for Target Designation Based on Cueing Data in Lower Tier Missile Defense Systems (큐잉 데이터 기반 하층방어 요격체계의 초고속 표적 탐지 방향 지정을 위한 정밀 궤적예측 기법)

  • Lee, Dong-Gwan;Cho, Kil-Seok;Shin, Jin-Hwa;Kim, Ji-Eun;Kwon, Jae-Woo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.4
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    • pp.523-536
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    • 2013
  • A recent air defense missile system is required to have a capability to intercept short-range super-high speed targets such as tactical ballistic missile(TBMs) by performing engagement control efficiently. Since flight time and distance of TBM are very short, the missile defense system should be ready to engage a TBM as soon as it takes an indication of the TBM launch. As a result, it has to predict TBM trajectory accurately with cueing information received from an early warning system, and designate search direction and volume for own radar to detect/track TBM as fast as it can, and also generate necessary engagement information. In addition, it is needed to engage TBM accurately via transmitting tracked TBM position and velocity data to the corresponding intercept missiles. In this paper, we proposed a method to estimate TBM trajectory based on the Kepler's law for the missile system to detect and track TBM using the cueing information received before the TBM arrives the apogee of the ballistic trajectory, and analyzed the bias of prediction error in terms of the transmission period of cueing data between the missile system and the early warning system.

On-line Signature Recognition Using Statistical Feature Based Artificial Neural Network (통계적 특징 기반 인공신경망을 이용한 온라인 서명인식)

  • Park, Seung-Je;Hwang, Seung-Jun;Na, Jong-Pil;Baek, Joong-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.1
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    • pp.106-112
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    • 2015
  • In this paper, we propose an on-line signature recognition algorithm using fingertip point in the air from the depth image acquired by Kinect. We use ten statistical features for each X, Y, Z axis to react to changes in Shifting and Scaling of the signature trajectories in three-dimensional space. Artificial Neural Network is a machine learning algorithm used as a tool to solve the complex classification problem in pattern recognition. We implement the proposed algorithm to actual on-line signature recognition system. In experiment, we verify the proposed method is successful to classify 4 different on-line signatures.

Detection of Main Components of Heart Sound Using Third Moment Characteristics of PCG Envelope (심음 포락선의 3차 모멘트를 이용한 심음의 주성분 검출)

  • Quan, Xing-Ri;Bae, Keun-Sung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.12
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    • pp.3001-3008
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    • 2013
  • To diagnose the cardiac valve abnormalities using analysis of phonocardiogram, first of all, accurate detection of S1, S2 components is needed for heart sound segmentation. In this paper, a new method that uses the third moment characteristics of an envelope of the PCG is proposed for accurate detection of S1 and S2 components of the heart sound with cardiac murmurs. The envelope of the PCG is obtained from the short-time energy profile, and its third moment profile with slope information is used for accurate time gating of the S1, S2 components. Experimental results have shown that the proposed method is superior to the conventional second moment method for detection of S1 and S2 regions from the heart sound signals with cardiac murmurs.

Study on Integrated-Flight Simulation Method Using CFT Imagery (탑재비행시험 영상을 적용한 통합비행 시뮬레이션 기법 연구)

  • Jeong, Dong Gil;Yun, Hyo Seok;Park, Jin Hyen
    • Journal of the Korea Society for Simulation
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    • v.27 no.1
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    • pp.111-117
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    • 2018
  • It is indispensable for a missile to track a target under the flight condition since the tracking capability affects the system performance considerably. The best way to verify the tracker's performance is flight test while it costs too much. Consequently, captive flight test or CFT has an important role in the development of a missile system. CFT, however, cannot simulate missile dynamics and is an offline and open-loop test. In this paper, we propose a new integrated-flight simulation(IFS) method using CFT imagery to overcome the limitation of synthetic image-based IFS method. This method increases the utilization of CFT's outputs and compensates the reality of imagery which lacks in the synthetic image-based IFS. Using this method make it possible to verify the system capability in various simulation modes.

Streak Estimation Method for Obtaining Orbital Information of Unknown Space Objects (미지 우주물체 궤도 정보 획득을 위한 스트릭 추정 방법 검토)

  • Hyun, Chul;Lee, Sangwook;Lee, Hojin;Lee, Jongmin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.11
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    • pp.1448-1454
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    • 2018
  • In an optical observing system, three pairs of observations at equal time intervals are required for the orbit determination method to obtain orbital information of an unknown space objects. In this paper, we propose a method of estimating a streak for acquiring three pairs of observations using one streak image information. Satellite trajectory simulation data were generated for nine cases using the STK program in order to verify the characteristics of the orbit of space object and estimation performance. Simulation was performed by applying three approaches that can estimate the next streak position after a few seconds from one streak image information, and the estimation performance was evaluated. Linear vector method and Kalman Filter method based on the linear assumption tend to increase the estimation error in the region where the nonlinearity is large. However estimation method using the polynomial curve fitting based on the least square method showed smaller and uniform error result than the previous methods.

Start Point Detection Method for Tracing the Injection Path of Steel Rebars (철근 사출 궤적 추적을 위한 시작지점 검출 방법)

  • Lee, Jun-Mock;Kang, Dae-Seong
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.6
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    • pp.9-16
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    • 2019
  • Companies that want to improve their manufacturing processes have recently introduced the smart factory, which is particularly noticeable. The ultimate goal is to maximize the area of the smart factory that performs the process of the production facility completely with minimal manual control and to minimize errors of reasoning. This research is a part of a project for unmanned production, management, packaging, and delivery management and the detection of the start point of rebars to perform the automatic calibration of the rollers through the tracking of the automated facilities of unmanned production. It must meet the requirement to accurately track the position from the start point to the end point. In order to improve the tracking performance, it is important to set the accurate start point. However, the probability of tracking errors is high depending on environments such as illumination and dust through the conventional time-based detection method. In this paper, we propose a starting point detection method using the average brightness change of high speed IR camera to reduce the errors according to the environments, As a result, its performance is improved by more than 15%.

Analysis of vehicle progress before and after a collision using simulation (시뮬레이션을 이용한 충돌 전후 차량 진행궤적 분석)

  • Han, Chang-Pyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.402-408
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    • 2021
  • Vehicle engineering analysis in the event of an accident caused by a car built on mechanical design has not been investigated in-depth but relies on the subjective experience knowledge of the investigator. This study analyzed the correlation between the speed, progress, steering, and braking before impact, which is consistent with the final stop position, by drawing a site situation chart using the CAD (CAD) program and repeating 250 crashes using the PC-Crash program. The following situations were investigated: lower impact velocity; greater impact speed of the vehicle, which is not affected significantly by the departure angle; higher vehicle speed, such as the effective impact velocity, after the impact; higher vehicle speed; and lower vehicle speed. (Ed note: I am unsure what you are saying here. It appears contradictory and not a complete sentence. Please check the changes.)The simulation results of this study identified the process of returning to the magnetic progression lane after recognizing the opposite porter while Mighty was carried out on the uphill left-curve section in a position that crossed the center line, and the collision of the porter's front left side, pushing the porter in the right diagonal direction and making the front stop towards approximately 11 o'clock.

Staging and Injection Performance Analysis of Small Launch Vehicle Based on KSLV-II (한국형발사체에 기반한 소형발사체의 스테이징 및 투입성능 분석)

  • Jo, Min-Seon;Kim, Jae-Eun;Choi, Jeong-Yeol
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.2
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    • pp.155-166
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    • 2021
  • In this paper, design study of a small two-stage launch vehicle is undertaken for the dedicated launch of the Compact Advanced Satellite 500 (CAS500)-class satellite into the Low Earth Orbit (LEO) by modifying the second and third stages of the Korean Space Launch Vehicle II (KSLV-II). Since the KSLV-II has three stages, velocity increment is newly distributed for the two-stage small launch vehicle. For this end, the staging design is carried out for the design parameters such as stage mass ratios, structural coefficients and engine options for each stage followed by trajectory analysis. Investigation of the results provides the combination of design parameters for the small launch vehicle for the dedicated launch of 500 kg-class satellite into LEO.

Proposal of autonomous take-off drone algorithm using deep learning (딥러닝을 이용한 자율 이륙 드론 알고리즘 제안)

  • Lee, Jong-Gu;Jang, Min-Seok;Lee, Yon-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.187-192
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    • 2021
  • This study proposes a system for take-off in a forest or similar complex environment using an object detector. In the simulator, a raspberry pi is mounted on a quadcopter with a length of 550mm between motors on a diagonal line, and the experiment is conducted based on edge computing. As for the images to be used for learning, about 150 images of 640⁎480 size were obtained by selecting three points inside Kunsan University, and then converting them to black and white, and pre-processing the binarization by placing a boundary value of 127. After that, we trained the SSD_Inception model. In the simulation, as a result of the experiment of taking off the drone through the model trained with the verification image as an input, a trajectory similar to the takeoff was drawn using the label.

Real-time Path Replanning for Unmanned Aerial Vehicles: Considering Environmental Changes using RRT* and LOSPO (무인 항공기를 위한 실시간 경로 재계획 기법: RRT*와 LOSPO를 활용한 환경 변화 고려)

  • Jung Woo An;Ji Won Woo;Hyeon Seop Kim;Sang Yun Park;Gyeon Rae Nam
    • Journal of Advanced Navigation Technology
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    • v.27 no.4
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    • pp.365-373
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    • 2023
  • Unmanned aerial vehicles are widely used in various fields, and real-time path replanning is a critical factor in enhancing the safety and efficiency of these devices. In this paper, we propose a real-time path replanning technique based on RRT* and LOSPO. The proposed technique first generates an initial path using the RRT* algorithm and then optimizes the path using LOSPO. Additionally, the optimized path can be converted into a trajectory that considers actual time and the dynamic limits of the aircraft. In this process, environmental changes and collision risks are detected in real-time, and the path is replanned as needed to maintain safe operation. This method has been verified through simulation-based experiments. The results of this paper make a significant contribution to the research on real-time path replanning for UAVs, and by applying this technique to various situations, the safety and efficiency of UAVs can be improved.