• Title/Summary/Keyword: 상대거리

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Deploy Position Determination for Accurate Parachute Landing of a UAV (무인기의 정밀 낙하산 착륙을 위한 전개지점 결정)

  • Kim, Inhan;Park, Sanghyuk;Park, Woosung;Ryoo, Chang-Kyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.6
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    • pp.465-472
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    • 2013
  • In this paper, we suggest how to determine the parachute deploy position for accurate landing of a UAV at a desired position. The 9-DOF dynamic modeling of UAV-parachute system is required to construct the proposed algorithm based on neural network nonlinear function approximation technique. The input and output data sets to train the neural network are obtained from simulation results using UAV-parachute 9-DOF model. The input data consist of the deploy position, UAV's velocity, and wind velocity. The output data consist of the cross range and down range of landing positions. So we predict the relative landing position from the current UAV position. The deploy position is then determined through distance compensations for the relative landing positions from the desired landing position. The deploy position is consistently calculated and updated.

An Analysis of three-dimensional collision probability according to approaching objects to the KOMPSAT series (아리랑 위성들의 경향에 따른 및 3차원 충돌확률 분석)

  • Seong, Jae-Dong;Kim, Hae-Dong;Lim, Seong-Min
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.2
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    • pp.156-163
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    • 2013
  • Collision probability is the most common method to measure the risk of space debris, it is widely used that two dimensional linear collision probability using the closest approach distance. This paper represents the characteristics of object that approach KOMPSAT 2, 3, 5 that have operated or will be operated by Korea. And more precise method than two dimensional linear collision probability, we analyzed the properties of three dimensional nonlinear collision probability using STK/Nonlinear Collision Probability Tool. Through this, efficiency of three dimensional nonlinear collision probability for KOMPSAT series satellites was investigated. The result represents that three dimensional nonlinear collision probability showed the precise outcome at a relative velocity of less than 350m/s. Also, KOMPSAT series satellites appeared to few low relative velocity approaches and showed low efficiency for the three dimensional nonlinear collision probability.

Establishment of Correspondent points and Sampling Period Needed to Estimate Object Motion Parameters (운동물체의 파라미터 추정에 필요한 대응점과 샘플링주기의 설정)

  • Jung, Nam-Chae;Moon, Yong-Sun;Park, Jong-An
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.5
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    • pp.26-35
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    • 1997
  • This paper deals with establishing correspondent points of feature pints and sampling period when we estimate object motion parameters from image information of freely moving objects in space of gravity-free state. Replacing the inertial coordinate system with the camera coordinate system which is equipped within a space robot, it is investigated to be able to analyze a problem of correspond points from image information, and to obtain sequence of angular velocity $\omega$ which determine a motion of object by means of computer simulation. And if a sampling period ${\Delta}t$ is shortened, the relative errors of angular velocity are increased because the relative errors against moving distance of feature points are increased by quantization. In reverse, if a sampling period ${\Delta}t$ is lengthened too much, the relative error are likewise increased because a sampling period is long for angular velocity to be approximated, and we confirmed the precision that grows according to ascending of resolution.

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A Study on the Evaluation of Driver's Collision Avoidance Maneuver based on GMDH (GMDH를 이용한 운전자의 충돌 회피 행동 평가에 관한 연구)

  • Lee, Jong-Hyeon;Oh, Ji-Yong;Kim, Gu-Yong;Kim, Jong-Hae
    • Journal of IKEEE
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    • v.22 no.3
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    • pp.866-869
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    • 2018
  • This paper presents the analysis of the human driving behavior based on the expression as a GMDH technique focusing on the driver's collision avoidance maneuver. The driving data are collected by using the three dimensional driving simulator based on CAVE, which provides stereoscopic immersive vision. A GMDH is also introduced and applied to the measured data in order to build a mathematical model of driving behavior. From the obtained model, it is found that the longitudinal distance between cars($x_1$), the longitudinal relative velocity($x_2$) and the lateral displacement between cars($x_4$) play important roles in the collision avoidance maneuver under the 3D environments.

Networked Airborne Relay-Based Positioning Scheme and Performance Enhancement Study Based on TDMA Networks (시분할다중접속 네트워크 기반의 공중 중계 기반 융합 측위 기법 및 성능 향상 연구)

  • Lee, Kyuman;Noh, Hongjun;Park, Hyungwon;Lim, Jaesung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.12
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    • pp.1824-1833
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    • 2016
  • In this paper, we propose networked airborne relay-based positioning scheme (N-ARPS) based on time division multiple access (TDMA) networks to improve the performance of relative navigation (RelNav). To integrate the ARPS into TDMA, there are three problems such as slot allocation, selection of airborne relays, and method for signal loss to be solved. A subframe of N-ARPS is designed to assign the slots for broadcast and relay of navigation signals consecutively to minimize the effect of mobility. The selection algorithm determines the optimum set of airborne relays by selecting evenly distributed nodes depending on their distances to the master station. Finally, we uses precise position location information (PPLI) messages, which are received in data transmission period, to estimate a user position when the navigation signals are missing. The simulation results indicate that N-ARPS significantly improves user accuracy over RelNav.

Sensor Fusion Docking System of Drone and Ground Vehicles Using Image Object Detection (영상 객체 검출을 이용한 드론과 지상로봇의 센서 융합 도킹 시스템)

  • Beck, Jong-Hwan;Park, Hee-Su;Oh, Se-Ryeong;Shin, Ji-Hun;Kim, Sang-Hoon
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.4
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    • pp.217-222
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    • 2017
  • Recent studies for working robot in dangerous places have been carried out on large unmanned ground vehicles or 4-legged robots with the advantage of long working time, but it is difficult to apply in practical dangerous fields which require the real-time system with high locomotion and capability of delicate working. This research shows the collaborated docking system of drone and ground vehicles which combines image processing algorithm and laser sensors for effective detection of docking markers, and is finally capable of moving a long distance and doing very delicate works. We proposed the docking system of drone and ground vehicles with sensor fusion which also suggests two template matching methods appropriate for this application. The system showed 95% docking success rate in 50 docking attempts.

Dimension Measurement of Nuclear Fuel Rods Using an Image Processing Technology (영상처리기술에 의한 핵연료봉의 제원 측정)

  • Koo, D.S.;Min, D.K.;You, G.S.;Shin, H.S.;Hong, K.P.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.19 no.2
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    • pp.79-84
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    • 1999
  • An image processing technology was developed to measure the dimension of nuclear fuel rods and the diameter of nuclear fuel rods was measured by this method. It was confirmed that parameters such as camera-to-specimen distance. camera location, light intensity and light characteristic would affect dimension measurement of nuclear fuel rods. The percent relative error and percent standard deviation of measuring the diameter of nuclear fuel rods using image processing method were 4.88%, ${\pm}3.34%$ while the percent relative error and percent standard deviation using conventional method were 12.7%, ${\pm}9.72%$, respectively. The accuracy of diameter measurement of nuclear fuel rods using image processing method was about 3 times as high as that using conventional method.

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Quality Control to Improve Reliability of Automatic Water Quality Data (수질자동측정망 자료의 신뢰성 제고를 위한 정도관리)

  • Lim, Byung-Jin;Hong, Eun-Young;Kim, Hyun-Ook
    • Korean Journal of Ecology and Environment
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    • v.43 no.2
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    • pp.338-344
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    • 2010
  • The automatic water quality monitoring system (AWQMS) have been installed to immediately response to any pollution incident. It also make it possible to conduct the task efficiently regarding water quality control. The purpose of this study is to enhance reliability by securing accuracy of automatic water quality data through quality assessment (QA) for temperature, pH, dissolved oxygen (DO), electric conductivity (EC), total organic carbon (TOC). The result of comparison between manual and automatic data, relative accuracy of general items (temperature, pH, EC, DO) and TOC were mostly satisfied with guideline (i.e. less than 20%). On the other hand, relative accuracy of DO between sampling site and housing site was somewhat against the guideline. The contamination by attaching algae and microorganism in the pipeline is considered as main cause. After backwashing the pipeline, DO concentration was increased up to 53%. Therefore, pipeline management is recognizable as important thing to secure reliability of water quality data.

Implementation of the Image Processing Algorithm for HPV DNA chip (HPV DNA 칩의 영상처리 알고리즘 구현)

  • 김종대;연석희;이용업;김종원
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.8C
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    • pp.803-810
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    • 2003
  • This paper addresses an image processing technique for the human papillomavirus (HPV) DNA chip to discriminate whether the probes are hybridized with the target DNA. HPV DNA chip is designed to determine HPV gene-types by using DNA probes for 22 HPV types. In addition to the probes, the HPV DNA chip has markers that always react with the sample DNA. The positions of probe-dots in the final scanned image are fixed relative to the marker- dot locations with a small variation attributable to the accuracy of the dotter and the scanner. The probes are quadruplicated to enhance diagnostic fidelity. frier knowledge including the marker relative distance and the replication information of probes is integrated into the template matching technique with normalized covariance measure. It was demonstrated that the employment of both of the prior knowledges can be accomplished by simply averaging the template matching measures over the positions of the markers and probes. The resulting proposed scheme yields stable marker locating and probe classification.

Effect of Agricultural Machine Lighting systems on Drivers Night Visibility (농기계의 등화장치가 운전자의 야간시인성에 미치는 영향)

  • Choi, Seung hyun;Lee, Sung yeol;Jang, Taek young;Do, Myung sik
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.4
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    • pp.25-35
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    • 2017
  • This study aimed to analyze a driver's night visibility, according to the installation of a lighting system for driving an agricultural machine during the night time. For the night visibility analysis, a luminance measurement test on the lighting system and a gaze duration measurement test through eye movement measurement devices were carried out. In the luminance measurement test, the increase of luminance was confirmed as relative distance from an agricultural machine was closer and the conditions of the lighting equivalence are improved. Also the gaze duration measurement test, total gaze duration from an agricultural machine increased, as the conditions of the lighting equivalence are improved. In addition, it was identified that the difference in average gaze duration from an agricultural machine was statistically significant as the agricultural machine was driven in high speed. In conclusion, when the lighting system is installed on an agricultural machine, a driver's night visibility from the agricultural machine improves, which is expected to be enormously helpful to the prevention of agricultural machine accidents.