• Title/Summary/Keyword: Distance-estimation

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A Weak Signal Detection Algorithm in Clutter Environment for Indoor Location Estimation based on IR-UWB Radar (IR-UWB 레이더 기반의 실내 위치 추정을 위한 클러터 환경에서 미약신호 검출 알고리즘)

  • Younguk Yun;Jung-woo Sohn;Youngok Kim
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.10-17
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    • 2023
  • Purpose: In this paper, a distance estimation technique for indoor location estimation using IR-UWB is proposed and researched. We propose an algorithm that can increase the SNR lowered due to clutter or noise in an indoor environment. Method: In order to clutter suppression and detect weak signals, we analyze the existing studies of background remover, correlation, and singular vector decomposition techniques and propose an algorithm. Result: The proposed algorithm, the average error was 0.57m up to 11.5m, and the error were 0.49m from 6m to 11.5m. the average error rate was reduced by about 1m compared to the previous study. Conclusion: It can be used as a technique for detecting weak signals in clutter and noise environments for distance or location estimation, and can also be used as a human life detection technique to reduce damage to people in a disaster situation by using UWB radar which has highly transparent.

Vehicle Platooning Remote Control via State Estimation in a Communication Network (통신 네트워크에서 상태 추정에 의한 군집병합의 원격제어)

  • 황태현;최재원;김영호
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.192-192
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    • 2000
  • In this paper, a platoon merging is considered as a remote-controlled system with the state represented by a stochastic process. In this system, it becomes to encounter situations where a single decision maker controls a large number of subsystems, and observation and control signals are sent over a communication channel with finite capacity and significant transmission delays. Unlike classical estimation problem in which the observation is a continuous process corrupted by additive noise, there is a constraint that the observation must be coded and transmitted over a digital communication channel with finite capaci쇼. A recursive coder-estimator sequence is a state estimation scheme based on observations transmitted with finite communication capacity constraint. Using the coder-estimator sequence, the remote control station designs a feedback controller. In this paper, we introduce a stochastic model for the lead vehicle in a platoon of vehicles considering the angle between a road surface and a horizontal plane as a stochastic process. The simulation results show that the inter-vehicle distance and the deviation from the desired inter-vehicle distance are well regulated.

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Efficiency Comparison according to Power Conversion Method and Performance Estimation for Battery Source BLDC Motor Propulsion System of Small Ships (축전지 전원을 사용한 소형선박 추진용 BLDC모터의 전력변환방식에 따른 효율 비교 및 성능 추정)

  • Jeong, T.Y.;Jeong, S.K.
    • Journal of Power System Engineering
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    • v.14 no.1
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    • pp.27-33
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    • 2010
  • We investigate some operation characteristics and energy efficiency of the BLDC motor system driven by different two types power conversion method depends on same battery source for applying to electrical motor propulsion system of a small ship. Also, we suggest an estimation manner of operating performances such as total running distance and operating speed of ships from basic discharge voltage characteristics of batteries. Through some experiments, direct power conversion was better than indirect method on the view point of energy efficiency and the voltage discharge characteristics could be used as important design factor for estimating operating performances of small ships driven by electrical motors.

A Study of Position Estimation Considering Wheel Slip of Mecanum Wheeled Mobile Robot (메카넘 휠 이동로봇의 바퀴 슬립을 고려한 위치 추정 연구)

  • Oh, Injin;Kwon, Gunwoo;Yang, Hyunseok
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.3
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    • pp.401-407
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    • 2019
  • In this paper, the position estimation considering wheel slip of mecanum wheeled mobile robots is discussed. Since the mecanum wheeled mobile robot does not need a space to rotate, it is very suitable in narrow industrial fields. However, the slip caused by the roller attached to the wheel makes it difficult to estimate the position precisely. Due to these limitations, mecanum wheels are rarely applied to unmanned mobile robots in automation factories. In this paper, a method to compensate the orientation and distance error caused by the slip is proposed. The exact orientation is measured by fusing gyro and magnetometer sensor data with application of Kalman filter. In addition, the kinematic model accounting slip effects will be defined to compensate the distance error.

Shooting Distance Adaptive Pore Extraction for Skin Condition Estimation (피부 상태 추정을 위한 촬영 거리에 적응적인 모공 검출 연구)

  • Lee, Kang-Kyu;Yoo, Jun-Sang;Bae, Jin-Gon;Bae, Ji-Sang;Kim, Jong-Ok
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.8
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    • pp.106-114
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    • 2015
  • Nowadays, cameras embedded in smartphones can take high resolution photographs that can be used to analyze skin conditions without using specialized equipments. In shooting photographs with a smartphone, it is difficult to maintain a uniform shooting distance. Therefore, it is essential to adapt a skin analysis method to the shooting distance. In this paper, we focus on a pore detection algorithm that is adaptive to the camera distance. We develop a relationship model between the shooting distance and the appropriate size of the pore detection mask. In addition, we propose a method to estimate the normalized pore size (i. e. pore size at a standard shooting distance). We conducted experiments on skin images taken from different shooting distances. It was verified that the proposed method can achieve more accurate pore detection result, close to those from skin images taken at a standard shooting distance.

Estimation of HMM parameters Using a Codeword Dependent Distance Normalization and a Distance Based codeword Weighting by Fuzzy Contribution (코드워드 의존 거리 정규화와 거리에 기반한 코드워드 가중을 이용한 은닉마르코프모델의 파라미터 추정)

  • Choi, Hwan-Jin;Oh, Yung-Hwan
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.4
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    • pp.36-42
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    • 1996
  • In this paper, we have proposed the robust estimation of HMM parameters which is based on CDDN(codeword dependent distance normalization)and codeword weighting by distance. The proposed method has used a distance normalization based on the characteristics of a codeword dependent distribution and have computed fuzzy contributions of codeword to a input vector with a fuzzy objective function. From experimental results, we have shown the effectiveness of the proposed method in that the correction rate of the proposed method is improved 4.5% over the conventional FVQ based method. Especially, the application of distance weighting to smoothing of output probability is improved the performance of 2.5% compared to distance based codeword weighting.

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Fast Multi-Reference Frame Motion Estimation Algorithm Using a Relation of Motion Vector with Distance of Each Reference Frame (움직임 벡터와 참조 프레임간의 거리를 이용한 고속 다중 참조 프레임 움직임 추정)

  • Byun, Ju-Won;Choi, Jin-Ha;Kim, Jae-Seok
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.2
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    • pp.69-76
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    • 2010
  • This paper proposed a new fast multi-reference frame motion estimation algorithm. The proposed algorithm reduces search areas of motion estimation using a linear relation of motion vector with distance of each reference frame. New algorithm executes full search area motion estimation in reference frame 0 and reference frame 1. After that, search areas in reference frame 2, reference frame 3 and reference frame 4 are minimized by distance of each reference frame and results of motion estimation in reference frame 0 and reference frame 1. The proposed algorithm does not use a threshold value which is obstacle of hardware implementation and processing time schedule. Also, it reduced computation quantity of multi-reference motion estimation. Hardware implementation of multi-reference frame motion estimation is possible by these features. Simulation results show that PSNR drop and bitrate increase of proposed algorithm are lower than those of previous fast multi-reference frame motion estimation algorithm The number of computation of new algorithm is reduced 52.5% and quality of result is negligible when compared with full search area motion estimation which has 5 reference frames.

Adaptive Zoom Motion Estimation Method (적응적 신축 움직임 추정 방법)

  • Jang, Won-Seok;Kwon, Oh-Jun;Kwon, Soon-Kak
    • Journal of Korea Multimedia Society
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    • v.17 no.8
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    • pp.915-922
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    • 2014
  • We propose an adaptive zoom motion estimation method where a picture is divided into two areas based on the distance information with a depth camera : the one is object area and the other is background area. In the proposed method, the zoom motion is only applied to the object area except the background area. Further, the block size of motion estimation for the object area is set to smaller than that of background area. This adaptive zoom motion estimation method can be reduced at the complexity of motion estimation and can be improved at the motion estimation performance by reducing the block size of the object area in comparison with the conventional zoom motion estimation method. Based on the simulation results, the proposed method is compared with the conventional methods in terms of motion estimation accuracy and computational complexity.

Improvement of Active Homing Performance with Radome Slope Estimation in Spatial Engagements

  • Jin, Shin-Sang;Lyul, Song-Taek
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.64.3-64
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    • 2001
  • In this paper, an estimation scheme with the IMM algorithm to estimate radome slope and target states is used to reduce the radome induced miss distance effectively in spatial active homing engagements of an anti-air missile. The filter algorithm in conjunction with proportional navigation guidance is tested by a series of simulation runs.

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Public Transportation Alighting Estimation Method Using Smart Card Data (교통카드데이터를 활용한 하차정류장 추정 방법론 연구)

  • Kim, Kyoungtae;Lee, Inmook
    • Journal of the Korean Society for Railway
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    • v.20 no.5
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    • pp.692-702
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    • 2017
  • Recently, there has been a growing interest in using smart card data. However, there are restrictions on the utilization of data in many areas outside the Seoul metropolitan area because the data does not contain alighting information. This paper presents a methodology for estimating alighting stops of smart card data. Estimation results were verified by smart card data from Seoul and Gwangju. The estimation rates were 78.2% and 81.6% in Seoul and Gwangju, respectively. The matching accuracy was 54.2% and 33.4%, respectively. However, if up to two stops of error are allowed, the accuracy values were 93.6% and 94.0%, respectively. We also discussed changes in estimation results due to adjusting the allowable walking distance, which is a key parameter of trip chaining methods. As the allowable walking distance increases, the estimation rate increases, while the accuracy decreases, and it is found that the estimation results change by around 500m.