• 제목/요약/키워드: sensor-fusion technique

검색결과 109건 처리시간 0.024초

벼농사용 무인 제초로봇의 건답환경 주행 성능 (Traveling Performance of a Robot Platform for Unmanned Weeding in a Dry Field)

  • 김국환;김상철;홍영기
    • 한국정밀공학회지
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    • 제31권1호
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    • pp.43-50
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    • 2014
  • This paper introduces a robot platform which can do weeding while traveling between rice seedlings stably against irregular land surface of a paddy field. Also, an autonomous navigation technique that can track on stable state without any damage of the seedlings in the working area is proposed. Detection of the rice seedlings and avoidance knocking down by the robot platform is achieved by the sensor fusion of a laser range finder (LRF) and an inertial measurement unit (IMU). These sensors are also used to control navigating direction of the robot to keep going along the column of rice seedling consistently. Deviation of the robot direction from the rice column that is sensed by the LRF is fed back to a proportional and derivative controller to obtain stable adjustment of navigating direction and get proper returning speed of the robot to the rice column.

초음파 센서와 카메라를 이용한 거리측정 시스템 설계 (Design of range measurement systems using a sonar and a camera)

  • 문창수;도용태
    • 센서학회지
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    • 제14권2호
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    • pp.116-124
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    • 2005
  • In this paper range measurement systems are designed using an ultrasonic sensor and a camera. An ultrasonic sensor provides the range measurement to a target quickly and simply but its low resolution is a disadvantage. We tackle this problem by employing a camera. Instead using a stereoscopic sensor, which is widely used for 3D sensing but requires a computationally intensive stereo matching, the range is measured by focusing and structured lighting. In focusing a straightforward focusing measure named as MMDH(min-max difference in histogram) is proposed and compared with existing techniques. In the method of structure lighting, light stripes projected by a beam projector are used. Compared to those using a laser beam projector, the designed system can be constructed easily in a low-budget. The system equation is derived by analysing the sensor geometry. A sensing scenario using the systems designed is in two steps. First, when better accuracy is required, measurements by ultrasonic sensing and focusing of a camera are fused by MLE(maximum likelihood estimation). Second, when the target is in a range of particular interest, a range map of the target scene is obtained by using structured lighting technique. The systems designed showed measurement accuracy up to 0.3[mm] approximately in experiments.

소형화된 융합(촉각 및 힘)센서 시스템의 구현을 위한 함백터 즉정 기법 (Force-vector Measurement Technique for Implementation of a Miniatuized Sensor Fusion System)

  • 윤여립;한헌수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1998년도 하계종합학술대회논문집
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    • pp.259-262
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    • 1998
  • 로봇 손이 자율적으로 동작하는데 있어서 촉각 센서는 매우 중요한 역할을 한다. 지금까지 로봇 손가락을 위한 광촉감 센서 융합 시스템들이 제안된 바 있으나 대부분 복잡한 시스템 구조로 인한 물리적인 한계로 소형화가 어렵다는 점이 커다란 문제였다. 본 논문에서는 복잡한 구성의 힘/역각 센서를 대치할 수 있는 3점 힘센서를 구성하여 힘백터를 측정하는 기법을 제안한다. 이 센서는 힘/역각 센서보다 간단한 구성으로 경제적으로 제작할 수 있다는 장점이 있으며 소형화 할 수 있기 때문에 로봇 손을 정밀 작업 등에 응용할 수 있게 할 것이다.

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전술객체 위치 모의를 위한 데이터 융합 및 추적 회피 시뮬레이션 (Data Fusion and Pursuit-Evasion Simulations for Position Evaluation of Tactical Objects)

  • 진승리;김석권;손재원;박동조
    • 한국시뮬레이션학회논문지
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    • 제19권4호
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    • pp.209-218
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    • 2010
  • 합성 환경/실험 체계 전술객체 표현 기술 연구는 전술객체들의 위치를 실시간으로 탐지·추적하고 이를 가상현실 내에서 모의하기 위한 기반 기술을 확보하는 것을 목적으로 한다. 이를 위한 기술로써 전술객체 위치 추적 및 모의 기술, 모델 간 공유기술에 대한 연구가 필요하다. 본 논문에서는 우선 센서 데이터 융합과 좌표계 통일을 위한 알고리즘을 연구하였고, 추적자의 유도 방식인 PNG(Proportional Navigation Guidance)를 적용한 추적 기술, 공학급 및 상급 모델의 회피 알고리즘을 적용한 회피 기술을 연구하였다. 또한, 잠수함과 어뢰의 추적 회피 시뮬레이션을 통해 전술객체의 위치 모의를 연구하였다.

사물인터넷 환경에서 대용량 스트리밍 센서데이터의 실시간·병렬 시맨틱 변환 기법 (Real-time and Parallel Semantic Translation Technique for Large-Scale Streaming Sensor Data in an IoT Environment)

  • 권순현;박동환;방효찬;박영택
    • 정보과학회 논문지
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    • 제42권1호
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    • pp.54-67
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    • 2015
  • 최근 사물인터넷 환경에서는 발생하는 센서데이터의 가치와 데이터의 상호운용성을 증진시키기 위해 시맨틱웹 기술과의 접목에 대한 연구가 활발히 진행되고 있다. 이를 위해서는 센서데이터와 서비스 도메인 지식의 융합을 위한 센서데이터의 시맨틱화는 필수적이다. 하지만 기존의 시맨틱 변환기술은 정적인 메타데이터를 시맨틱 데이터(RDF)로 변환하는 기술이며, 이는 사물인터넷 환경의 실시간성, 대용량성의 특징을 제대로 처리할 수 없는 실정이다. 따라서 본 논문에서는 사물인터넷 환경에서 발생하는 대용량 스트리밍 센서데이터의 실시간 병렬처리를 통해 시맨틱 데이터로 변환하는 기법을 제시한다. 본 기법에서는 시맨틱 변환을 위한 변환규칙을 정의하고, 정의된 변환규칙과 온톨로지 기반 센서 모델을 통해 실시간 병렬로 센서데이터를 시맨틱 변환하여 시맨틱 레파지토리에 저장한다. 성능향상을 위해 빅데이터 실시간 분석 프레임워크인 아파치 스톰을 이용하여, 각 변환작업을 병렬로 처리한다. 이를 위한 시스템을 구현하고, 대용량 스트리밍 센서데이터인 기상청 AWS 관측데이터를 이용하여 제시된 기법에 대한 성능평가를 진행하여, 본 논문에서 제시된 기법을 입증한다.

초음파 거리 센서의 계측오차 감소를 위한 연구 (A study to reduce measurement errors of an ultrasonic rangefinder)

  • 도용태;김태호;유석환
    • 전자공학회논문지S
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    • 제34S권11호
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    • pp.43-52
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    • 1997
  • Ultrasonic sensors are widely employed in detecting range to a target by the virtue of their low cost and simplicity. However, the sensor's measurements are corrupted by systematic errors due mainly to the dependency of sound speed upon surrounding conditions and random errors of uncertain origin. In this paper, we present the results of research carried out to reduce these errors for increasing the reliability of an untrasonic sensor system to be used in orbotic or other automated system's range finding. The sensor system designed herein is in a peuliar structure having a reference target and two receivers. Echoes from a small reference target placed at a known distance are used for compensating the variations of sound speed according to the changes of sensing conditions. Unlike existing ones, the technique proposed can compensate the effects of temperature or any other physical parameters without an additional sensor dedicated to the compensation. The measurements by two redundantly employed receivers are fused to reduce random errors in a statistical sense. The correlation of the signals from the receivers sharing a hardware in part is considered in the fusion process. The methodology desicribed in this paepr is conceptually simple, easy to be implemented, and effetive to increase the accuracy of the sensor measurements as experimental results confirm.

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Maximum Likelihood (ML)-Based Quantizer Design for Distributed Systems

  • Kim, Yoon Hak
    • Journal of information and communication convergence engineering
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    • 제13권3호
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    • pp.152-158
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    • 2015
  • We consider the problem of designing independently operating local quantizers at nodes in distributed estimation systems, where many spatially distributed sensor nodes measure a parameter of interest, quantize these measurements, and send the quantized data to a fusion node, which conducts the parameter estimation. Motivated by the discussion that the estimation accuracy can be improved by using the quantized data with a high probability of occurrence, we propose an iterative algorithm with a simple design rule that produces quantizers by searching boundary values with an increased likelihood. We prove that this design rule generates a considerably reduced interval for finding the next boundary values, yielding a low design complexity. We demonstrate through extensive simulations that the proposed algorithm achieves a significant performance gain with respect to traditional quantizer designs. A comparison with the recently published novel algorithms further illustrates the benefit of the proposed technique in terms of performance and design complexity.

Self-positioning fusion system based on estimation of relative coordinates

  • Cho, Hyun-Jong;Lee, Sung-Geun;Cho, Woong-Ho;Noh, Duck-Soo;Seo, Dong-Hoan
    • Journal of Advanced Marine Engineering and Technology
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    • 제38권5호
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    • pp.566-572
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    • 2014
  • Recently, indoor navigation has been applied in large convention centers by using wireless sensor networks (WSNs), which provide not only a user's path to be traveled but also orientation and shopping information to increase user's convenience. This paper presents the localization system for estimating relative coordinates without pre-deployment of the reference node based on ultra wide band (UWB) ranging system, which is relatively suitable for indoor localization compared to other wireless communications, and azimuth sensor. The proposed localization system which consists of an azimuth sensor and a mobile node composed of three nodes estimates relative coordinates of the reference node without applying any recursive and time consumption algorithms. Also, in the process of estimating relative coordinates of the reference node, ranging errors are minimized through the proposed technique and the number of nodes can be reduced. Experimental results show the feasibility and validity of the proposed system.

Autonomous Control System of Compact Model-helicopter

  • Kang, Chul-Ung;Jun Satake;Takakazu Ishimatsu;Yoichi Shimomoto;Jun Hashimoto
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.95-99
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    • 1998
  • We introduce an autonomous flying system using a model-helicopter. A feature of the helicopter is that autonomous flight is realized on the low-cost compact model-helicopter. Our helicopter system is divided into two parts. One is on the helicopter, and the other is on the land. The helicopter is loaded with a vision sensor and an electronic compass including a tilt sensor. The control system on the land monitors the helicopter movement and controls. We firstly introduce the configuration of our helicopter system with a vision sensor and an electronic compass. To determine the 3-D position and posture of helicopter, a technique of image recognition using a monocular image is described based on the idea of the sensor fusion of vision and electronic compass. Finally, we show an experiment result, which we obtained in the hovering. The result shows the effectiveness of our system in the compact model-helicopter.

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Robust Relative Localization Using a Novel Modified Rounding Estimation Technique

  • Cho, Hyun-Jong;Kim, Won-Yeol;Joo, Yang-Ick;Seo, Dong-Hoan
    • Journal of Advanced Marine Engineering and Technology
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    • 제39권2호
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    • pp.187-194
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    • 2015
  • Accurate relative location estimation is a key requirement in indoor localization systems based on wireless sensor networks (WSNs). However, although these systems have applied not only various optimization algorithms but also fusion with sensors to achieve high accuracy in position determination, they are difficult to provide accurate relative azimuth and locations to users because of cumulative errors in inertial sensors with time and the influence of external magnetic fields. This paper based on ultra-wideband positioning system, which is relatively suitable for indoor localization compared to other wireless communications, presents an indoor localization system for estimating relative azimuth and location of location-unaware nodes, referred to as target nodes without applying any algorithms with complex variable and constraints to achieve high accuracy. In the proposed method, the target nodes comprising three mobile nodes estimate the relative distance and azimuth from two reference nodes that can be installed by users. In addition, in the process of estimating the relative localization information acquired from the reference nodes, positioning errors are minimized through a novel modified rounding estimation technique in which Kalman filter is applied without any time consumption algorithms. Experimental results show the feasibility and validity of the proposed system.