• Title/Summary/Keyword: Target Location Error

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Effect of orientation, interval size, target location on interpolation estimates on CRT display. (CRT 표시장치에서 내삽 추정치에 대한 방향, 크기, 위치의 효과)

  • 노재호
    • Journal of the Ergonomics Society of Korea
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    • v.9 no.1
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    • pp.35-42
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    • 1990
  • This study is concerned with the accuracy, of error with which subjects can interpolate the location of a target between two graduation markers with 4 orientations and 6 sizes CRT display. Stimuli were graphic images on CRT with a linear, end-markec, ungraduated scales having a target. The location of a target is estimated in units over te range 1-99. Smallest error of estimates was at the near ends and middle of the base-line. The median error was less than 2 units, modal error was 1, and the most error (; 99.7%) was within 10. A proper size to make an minimum error in interpolation exists such that size 400 pixels. Interpolation estimation is shown to be affected by the size, location and interaction (orientation x location, size x location). The accuracy, interpolation performance are discussed in relation to absolute error associated with visual performance.

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Effect of Interval Size on Interpolation Estimates between Graduation Markers on CRT Display (CRT 표시장치에서 내삽 추정치에 대한 구간크기의 효과)

  • Ro, Jae-Ho
    • Journal of Industrial Technology
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    • v.9
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    • pp.67-77
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    • 1989
  • This study is concerned with the accuracy, the pattern of error with which subjects can interpolate the location of a pointer or a target between two graduation markers with various size on CRT display. Stimuli were graphic images on CRT with a linear, end-marked, ungraduated scales having a target for t base-line sizes. The location of a target is estimated in units over the range 1-99. Smallest error of estimates was at the near ends and middle of the base-line. The median error was less 2 units, modal error was 1, and most error(;99.6%) was within 10. Subjects had a more tendency to overestimate than to underestimate at the left-part of base-line in all siges, and an opposite tendency at the right-part. A proper size to minimize the interpolation error exists such that size 500. It is suggested that interpolation of fifths and even tenths will give a reguired accuracy for certain situations, and relative location and base-line size has a relevant attribute to interpolate.

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Location Estimation Enhancement Using Space-time Signal Processing in Wireless Sensor Networks: Non-coherent Detection

  • Oh, Chang-Heon
    • Journal of information and communication convergence engineering
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    • v.10 no.3
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    • pp.269-275
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    • 2012
  • In this paper, we proposed a novel location estimation algorithm based on the concept of space-time signature matching in a moving target environment. In contrast to previous fingerprint-based approaches that rely on received signal strength (RSS) information only, the proposed algorithm uses angle, delay, and RSS information from the received signal to form a signature, which in turn is utilized for location estimation. We evaluated the performance of the proposed algorithm in terms of the average probability of error and the average error distance as a function of target movement. Simulation results confirmed the effectiveness of the proposed algorithm for location estimation even in moving target environment.

Analysis of Optimum Integration on the GNSS and the Vision System (GNSS와 Vision System의 최적 융합 분석)

  • Park, Chi-Ho;Kim, Nam-Hyeok;Park, Kyoung-Yong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.3
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    • pp.13-18
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    • 2015
  • This paper proposes an optimum vision system analysis and a reliable high-precision positioning system that converges a GNSS and a vision system in order to resolve position error and outdoor shaded areas two disadvantages of GNSS. For location determination of the object, it should receive signal from at least four GNSS. However, in urban areas, exact location determination is difficult due to factors like high buildings, obstacles, and reflected waves. In order to deal with the above problem, a vision system was employed. First, determine an exact position value of a target object in urban areas whose environment is poor for a GNSS. Then, identify such target object by a vision system and its position error is corrected using such target object. A vehicle can identify such target object using a vision system while moving, make location data values, and revise location calculations, thereby resulting in reliable high precision location determination.

Location Determination Scheme based on Proximity Position Data of a Target (목표물에 근접한 위치데이터를 사용한 2차원 위치추정방법)

  • Kim, Deok-Ki;Kim, Seung-Youl;Lee, Sang-Jin;You, Young-Gap
    • The Journal of the Korea Contents Association
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    • v.10 no.1
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    • pp.87-93
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    • 2010
  • This paper describes an improved location determination scheme based on the triangulation method calculating a target position. The proposed scheme uses coordinates of intersection points of three circles each generated by measurement of an observer. The target position obtained from the proposed scheme has higher accuracy not only at the vicinity, but also at the periphery of the observation area. The maximum error and the average error with the proposed scheme are reduced by 40.89% and 40.30%, respectively, with respect to conventional methods.

Statistical Analysis of Ranging Errors by using $\beta$-Density Angular Errors due to Heading Uncertainty ($\beta$ - 분포를 갖는 센서의 방향각 오차로 인한 거리 오차의 통계적 분석)

  • 김종성
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1984.12a
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    • pp.100-106
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    • 1984
  • Traditional methods for estimating the location of underwater target, i.e. the triangulation method and the wavefront curvature method, have been utilized. The location of a target is defined by the range and the bearing, which estimates can be obtained by evaluating the time delay between neighboring sensors. Many components of error occur in estimating the target range, among which the error due to the fluctuation of heading angle is outstanding. In this paper, the wavefront curvature method was used. We considered the error due to the heading fluctuation as the $\beta$-density process, from which we analized the range estimates with $\beta$-density function exist in some finite limits, and its mean value and variation are depicted as a function of true range and heading fluctuation. Given heading angles and sensor separation, maximum estimated heading errors are presented as a function of true range.

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Estimation Techniques for Three-Dimensional Target Location Based on Linear Least Squared Error Algorithm (선형 최소제곱오차 알고리즘을 응용한 3차원 표적 위치 추정 기법)

  • Han, Jeong Jae;Jung, Yoonhwan;Noh, Sanguk;Park, So Ryoung;Kang, Dokeun;Choi, Wonkyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.7
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    • pp.715-722
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    • 2016
  • In this paper, by applying the linear least squared error algorithm, we derive an estimation technique for three dimensional target location when a number of radars are used in detecting a target. The proposed technique is then enhanced by combining GPS information and by assigning variable weights to information sources. The enhanced performance of proposed techniques is confirmed via simulation. It is also observed from simulation results that the performance is robust to the uncertainty of information.

An Effective TOA-based Localization Method with Adaptive Bias Computation

  • Go, Seung-Ryeol
    • Journal of IKEEE
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    • v.20 no.1
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    • pp.1-8
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    • 2016
  • In this paper, we propose an effective time-of-arrival (TOA)-based localization method with adaptive bias computation in indoor environments. The goal of the localization is to estimate an accurate target's location in wireless localization system. However, in indoor environments, non-line-of-sight (NLOS) errors block the signal propagation between target device and base station. The NLOS errors have significant effects on ranging between two devices for wireless localization. In TOA-based localization, finding the target's location inside the overlapped area in the TOA-circles is difficult. We present an effective localization method using compensated distance with adaptive bias computation. The proposed method is possible for the target's location to estimate an accurate location in the overlapped area using the measured distances with subtracted adaptive bias. Through localization experiments in indoor environments, estimation error is reduced comparing to the conventional localization methods.

Estimation of Person Height and 3D Location using Stereo Tracking System (스테레오 추적 시스템을 이용한 보행자 높이 및 3차원 위치 추정 기법)

  • Ko, Jung Hwan;Ahn, Sung Soo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.2
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    • pp.95-104
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    • 2012
  • In this paper, an estimation of person height and 3D location of a moving person by using the pan/tilt-embedded stereo tracking system is suggested and implemented. In the proposed system, face coordinates of a target person is detected from the sequential input stereo image pairs by using the YCbCr color model and phase-type correlation methods and then, using this data as well as the geometric information of the stereo tracking system, distance to the target from the stereo camera and 3-dimensional location information of a target person are extracted. Basing on these extracted data the pan/tilt system embedded in the stereo camera is controlled to adaptively track a moving person and as a result, moving trajectory of a target person can be obtained. From some experiments using 780 frames of the sequential stereo image pairs, it is analyzed that standard deviation of the position displacement of the target in the horizontal and vertical directions after tracking is kept to be very low value of 1.5, 0.42 for 780 frames on average, and error ratio between the measured and computed 3D coordinate values of the target is also kept to be very low value of 0.5% on average. These good experimental results suggest a possibility of implementation of a new stereo target tracking system having a high degree of accuracy and a very fast response time with this proposed algorithm.

Target Localization Method using the Detection Signal Strength of Seismic Sensors for Surveillance Reconnaissance Sensor Network (감시정찰 센서 네트워크에서의 지진동센서 탐지 신호 세기를 이용한 표적 측위 방법)

  • Hyeon-Soo Im;In-Yong Hwang;Hyung-Seok Kim;Sang-Heon Shin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1291-1298
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    • 2023
  • Surveillance reconnaissance sensor network is used for surveillance in wartime and area of operation. In this paper, we propose a target localization method using the detection signal strength of seismic sensors. Relay equipment calculates the target location using coordinate information and detection signal strength of the seismic sensors. Target localization error deviation due to environmental factors was minimized by subtracting the dynamic offset when calculating the target location. Field test shows improvement of target localization through reduction of errors. The average error was decreased to 3.62m. Up to 62% improved result was obtained compared to weighted centroid localization method.