• Title/Summary/Keyword: Target Location

Search Result 835, Processing Time 0.039 seconds

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
    • /
    • v.52 no.3
    • /
    • pp.13-18
    • /
    • 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.

The Effect of Consistency between Represented Location of the Cue and the Target on Attention Mechanism (단서자극과 표적자극의 표상된 위치의 일치성이 주의기제의 작용에 미치는 영향)

  • Seo, Jun-Ho;Li, Hyung-Chul O.
    • Korean Journal of Cognitive Science
    • /
    • v.20 no.4
    • /
    • pp.481-506
    • /
    • 2009
  • The purpose of the present research was to examine whether the attention mechanism employs physical or represented location of the cue and target. To achieve this, we have employed the paradigm of facilitation of response as well as inhibition of return. In the experiments, valid and invalid conditions were defined by the position consistency of the cue and the target in the aspect of either physical or represented location. We used auditory cue and visual target in Experiment 1 while visual cue and auditory target in Experiment 2. As a results, in Experiment 1, effect of facilitation of response in valid condition was found when the valid/invalid conditions were defined in the aspect of represented location. In Experiment 2, effect of facilitation of response in valid condition was found when the valid/invalid conditions were defined in the aspect of represented location. In all the other conditions, no effect was found when the conditions were defined in the aspect of physical location. No effects of inhibition of return were found in Experiment 2. These results imply the possibility that attention mechanism operates based on objects' represented location rather than on their physical location. More importantly, the present research suggests that it is necessary to separate represented location from physical location of the target and the cue in the experiment of facilitation of response and inhibition of return in the future.

  • PDF

Extraction of location of 3-D object from CIIR method based on blur effect of reconstructed POI

  • Park, Seok-Chan;Kim, Seung-Cheol;Kim, Eun-Soo
    • 한국정보디스플레이학회:학술대회논문집
    • /
    • 2009.10a
    • /
    • pp.1363-1366
    • /
    • 2009
  • A new recognition method is used to find the three-dimensional target object on integral imaging. For finding the location of a target image, amount of reconstructed reference image is needed. This method is giving accurate information of target image by correlated among reconstructed target images and reference images.

  • PDF

PID-controlled Moving Objects Spatio-Temporal Model Algorithm for Identifying the Location of a Mobile Object in Real-time (이동체의 실시간 위치추적을 위한 PID제어 이동체 Spatio-Temporal 모델 알고리즘)

  • Wang, Zhi;Ying, Sun;Lee, Kyou-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2011.05a
    • /
    • pp.209-212
    • /
    • 2011
  • Triangulation is a typical method to locate or identify the location, which requires inherently at least three pre-recognized reference points. In some cases, owing to out of reachability to communication facility the target node can not reachable always to three base stations. This paper presents a predictive method, which can estimate the location of the moving target node in real time even though the target could not get in touch with all three base stations. The method is based on the PID-controlled Moving Objects Spatio-Temporal Model Algorithm. This can predict the moving direction of the moving target, and then combine with the past target position information to judge accurately the location.

  • PDF

Compressed Sensing-based Multiple-target Tracking Algorithm for Ad Hoc Camera Sensor Networks

  • Lu, Xu;Cheng, Lianglun;Liu, Jun;Chen, Rongjun
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.12 no.3
    • /
    • pp.1287-1300
    • /
    • 2018
  • Target-tracking algorithm based on ad hoc camera sensor networks (ACSNs) utilizes the distributed observation capability of nodes to achieve accurate target tracking. A compressed sensing-based multiple-target tracking algorithm (CSMTTA) for ACSNs is proposed in this work based on the study of camera node observation projection model and compressed sensing model. The proposed algorithm includes reconfiguration of observed signals and evaluation of target locations. It reconfigures observed signals by solving the convex optimization of L1-norm least and forecasts node group to evaluate a target location by the motion features of the target. Simulation results show that CSMTTA can recover the subtracted observation information accurately under the condition of sparse sampling to a high target-tracking accuracy and accomplish the distributed tracking task of multiple mobile targets.

Effective ToA-Based Indoor Localization Method Considering Accuracy in Wireless Sensor Networks (무선 센서 네트워크 상에서 정확도를 고려한 효과적인 도래시간 기반 무선실내측위방법)

  • Go, Seungryeol
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.41 no.6
    • /
    • pp.640-651
    • /
    • 2016
  • We propose an effective ToA-based localization method considering accuracy in indoor environments. The purpose of the localization system is to estimate the coordinates of the geographic location of target device. In indoor environments, accurately estimating the location of a target device is not easy due to various errors. The accuracy of wireless localization is influenced by NLOS errors. ToA-based localization measures the location of a target device using the distances between a mobile device and three or more base stations. However, each of the NLOS errors along a distance estimated from a target device to a base station is different because of dissimilar obstacles. To accurately estimate the target's location, an optimized localization process is needed in indoor environments. In this paper, effective ToA-based localization method process is proposed for improving accuracy in wireless sensor networks. Performance evaluations are presented, and the experimental localization system results are proved through comparisons of various localization methods with the proposed methods.

Identifying the Location of a Mobile Object in Real-time using PID-controlled Moving Objects Spatio-Temporal Model

  • Zhi, Wang;Sung, Kil-Young;Lee, Kyou-Ho
    • Journal of information and communication convergence engineering
    • /
    • v.9 no.5
    • /
    • pp.545-550
    • /
    • 2011
  • Trilateration is a typical method to locate an object, which requires inherently at least three prerecognized reference points. In some cases, owing to out of reachability to communication facilities the target node cannot be reachable always to three base stations. This paper presents a predictive method, which can identify the location of a moving target node in real time even though the target node could not get in touch with all three base stations. The method is based on the PIDcontrolled Moving Objects Spatio-Temporal Model Algorithm. Simulation results verify that this method can predict the moving direction of a moving target, and then combine with its past position information to judge accurately the location.

Confirmation Method of Target Detection for Vehicle Mounted Metal Detector

  • Jung, Byung-Min;Shin, Beom-Su;Chang, YuShin;Yang, DongWon
    • Journal of the Korea Society of Computer and Information
    • /
    • v.21 no.10
    • /
    • pp.49-54
    • /
    • 2016
  • In this paper, the confirmation method of target detection for the vehicle mounted metal detector (MD) has been described. The vehicle mounted MD with the arrayed 6 coils to detect the width of 2.4 m was demonstrated. It is important and necessary to inform the location of the objects detected by the MD. The confirmation method of target detection was verified by using the MD GUI and the analysis of the receive signal processing. The receive signal processing is performed by comparing the threshold and the difference of the signal calibrated at initial location and the signal detected at present location.

Estimation of Angular Location and Directivity Compensation of Split-beam Acoustic Transducer for a 50 kHz Fish Sizing Echo Sounder (50 kHz 체장어군탐지기용 분할 빔 음향 변환기의 지향성 보정 및 위치각 추정)

  • Lee, Dae-Jae
    • Korean Journal of Fisheries and Aquatic Sciences
    • /
    • v.44 no.4
    • /
    • pp.423-430
    • /
    • 2011
  • The most satisfactory split-beam transducer for fish sizing maintains a wide bearing angle region for correct fish tracking without interference from side lobes and lower sensitivity to fish echoes outside of the main lobe region to correctly measure the angular location of free-swimming fishes in the sound beam. To evaluate the performance of an experimentally developed 50 kHz split-beam transducer, the angular location of a target was derived from the electrical phase difference between the resultant signals for the pair of transducer quadrants in the horizontal and vertical planes consisting of 32 transducer elements. The electrical phase difference was calculated by cross-spectral density analysis for the signals from the pair of receiving transducer quadrants, and the directivity correction factor for a developed split-beam transducer was estimated as the fourth-order polynomial of the off-axis beam angle for the angular location of the target. The experimental results demonstrate that the distance between the acoustic centers for the pair of receiving transducer quadrants can be controlled to less than one wavelength by optimization with amplitude-weighting transformers, and a smaller center spacing provides a range of greater angular location for tracking of a fish target. In particular, a side lobe level of -25.2 dB and an intercenter spacing of $0.96\lambda$($\lambda$= wavelength) obtained in this study suggest that the angular location of fish targets distributing within a range of approximately ${\pm}28^{\circ}$ without interference from side lobes can be measured.

A New Analytical Method for Location Estimation Using the Directional Data (방향정보를 이용한 위치측정의 분석적 방법)

  • Lee Ho-Joo;Kim Yeong-Dae;Park Cheol-Sun
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.7 no.4 s.19
    • /
    • pp.61-69
    • /
    • 2004
  • This paper presents a new analytical method for estimating the location of a target using directional data. Based on a nonlinear programming (NLP) problem formulated for the line method, which is a well known algorithm for two-dimensional location estimation, we present a method to find an optimal solution for the problem. Then we present a two-stage method for better location estimation based on the NLP problem. In addition, another two-stage method is presented for location estimation problems in which different types of observers are used to obtain directional data based on the analysis of the maximum likelihood estimate of the target location. The performance of the suggested method is evaluated through simulation experiments, and results show that the two-stage method is computationally efficient and highly accurate.