• 한국통신학회논문지
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• 제40권10호
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• pp.2062-2064
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• 2015

본 논문에서는 LED 패널의 신호를 받아 모바일 단말기에 장착된 이미지 센서를 통하여 임의의 위치에 있는 모바일 단말기의 위치를 추정하는 실내 측위 알고리즘을 제안하였다. 측위 성능평가를 위하여 실내에 존재하는 잡음 환경을 고려하였고, 제안한 알고리즘은 잡음환경에 무관하게 높은 측위 성능을 보임을 입증하였다.

• 한국기계가공학회지
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• 제13권6호
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• pp.15-22
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• 2014

With a conventional positioning apparatus, it is very difficult simultaneously to achieve desired driving ranges and precision levels at the sub-micrometer level. Generally, a lead screw and friction drive have been used as servo control systems. These have large driving ranges, and high-speed positioning is feasible. In this study, we present a global servo system controlled by a laser interferometer acting as a displacement measurement sensor for achieving positioning accuracy at the sub-micrometer level.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.251-256
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• 2006

In the work package 'Integrated Positioning' of the research project NAVIO (Pedestrian Navigation Systems in Combined Indoor/Outdoor Environements) we are dealing with the navigation and guidance of visitors of our University. Thereby start points are public transport stops in the surroundings of the Vienna University of Technology and the user of the system should be guided to certain office rooms or persons. For the position determination of the user different location sensors are employed, i.e., for outdoor positioning GPS and dead reckoning sensors such as a digital compass and gyro for heading determination and accelerometers for the determination of the travelled distance as well as a barometric pressure sensor for altitude determination and for indoor areas location determination using WiFi fingerprinting. All sensors and positioning methods are combined and integrated using a Kalman filter approach. Then an optimal estimate of the current location of the user is obtained using the filter. To perform an adequate weighting of the sensors in the stochastic filter model, the sensor characteristics and their performance was investigated in several tests. The tests were performed in different environments either with free satellite visibility or in urban canyons as well as inside of buildings. The tests have shown that it is possible to determine the user's location continuously with the required precision and that the selected sensors provide a good performance and high reliability. Selected tests results and our approach will be presented in the paper.

• 한국자동차공학회논문집
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• 제22권7호
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• pp.107-116
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• 2014

This paper presents camera-based road surface marking detection methods suited to sensor fusion-based positioning system that consists of low-cost GPS (Global Positioning System), INS (Inertial Navigation System), EDM (Extended Digital Map), and vision system. The proposed vision system consists of two parts: lane marking detection and RSM (Road Surface Marking) detection. The lane marking detection provides ROIs (Region of Interest) that are highly likely to contain RSM. The RSM detection generates candidates in the regions and classifies their types. The proposed system focuses on detecting RSM without false detections and performing real time operation. In order to ensure real time operation, the gating varies for lane marking detection and changes detection methods according to the FSM (Finite State Machine) about the driving situation. Also, a single template matching is used to extract features for both lane marking detection and RSM detection, and it is efficiently implemented by horizontal integral image. Further, multiple step verification is performed to minimize false detections.

• 한국정보통신학회논문지
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• 제10권11호
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• pp.2099-2106
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• 2006

본 논문은 가변의 감지영역을 갖는 무선 센서 네트워크에서 센서노드의 감지에너지 소비를 최소화하기 위한 노드의 위치를 결정하는 방법에 관하여 기술하였다. 감지에너지의 소비를 최소화하기 위해서는 이웃하는 노드들과의 중첩되는 감지면적이 최소화되어야 한다. 중첩영역을 최소로 하는 노드의 위치를 결정하기 위하여, 이웃하는 노드 사이의 감지영역과 전개각 및 각 노드의 감지반경을 이용하여 최적화 식을 유도하였다. 이를 기반으로 한 ASRC(adjustable sensing ranges control)에 의한 새로운 노드 위치방법을 제안하였다. 제 안한 방법은 기존의 조건에 의한 방법과는 달리 수학적 식에 근거하여 유도한 모델로서, 시뮬레이션을 통하여 감지에너지 소모에 대한 유효성을 확인하였다.

• 한국측량학회지
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• 제39권5호
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• pp.289-295
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• 2021

Recently, owing to the development of autonomous vehicles, research on precisely determining the position of a moving object has been actively conducted. Previous research mainly used the fusion of GNSS/IMU (Global Positioning System / Inertial Navigation System) and sensors attached to the vehicle through a Kalman filter. However, in recent years, new technologies have been used to determine the location of a moving object owing to the improvement in computing power and the advent of deep learning. Various techniques using RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), and NARX (Nonlinear Auto-Regressive eXogenous model) exist for such learning-based positioning methods. The purpose of this study is to compare the precision of existing filter-based sensor fusion technology and the NARX-based method in case of GNSS signal blockages using simulation data. When the filter-based sensor integration technology was used, an average horizontal position error of 112.8 m occurred during 60 seconds of GNSS signal outages. The same experiment was performed 100 times using the NARX. Among them, an improvement in precision was confirmed in approximately 20% of the experimental results. The horizontal position accuracy was 22.65 m, which was confirmed to be better than that of the filter-based fusion technique.

• 전자공학회논문지SC
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• 제46권2호
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• pp.28-35
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• 2009

이동 로봇의 요소기술로 위치추정 기술은 로봇의 위치 판별과 사용자가 원하는 위치로 주행하기 위해 반드시 필요한 기술이다. 휠 구동을 기반으로 하는 로봇의 위치추정 방법은 오도메터리 정보를 이용한 기술이다. 그러나 오도메터리 정보를 이용한 위치추정은 이동로봇이 주행하는 동안 휠과 주행 바닥면 사이에서 슬립현상의 발생으로 실제 위치 차이가 발생하고 정량적인 오차 값 확인이 쉽지 않다. 본 연구에서는 이 문제를 해결하기 위해 오도메터리와 관성센서를 이용하여 위치추정 오차를 최소화하는 방법을 제시한다. 또한 관성센서가 영상을 이용한 SLAM에서도 위치오차를 줄일 수 있는 기법을 제시한다.

• 대한전자공학회논문지TC
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• 제42권1호`
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• pp.9-15
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• 2005

현재 위치결정기술에 주로 사용되고 있는 매체는 RF이다. 그러나 RF를 사용한 위치결정기술은 GPS나 실외의 LOS 상황에서 주로 이용되고 있다. 왜냐하면 실내에서는 다중경로 해상도가 좋지 않아 정확한 위치 값을 계산해 내기가 힘들기 때문이다. UWB는 다중경로 해상도가 높고 장애물 투과율이 좋은 실내 측위에 적합한 매체이며 현재 UWB 통신 및 위치측정에 사용하고자 하는 표준화가 IEEE 802.15 위원회에서 진행 중이다. 그러나 UWB를 이용한 실내 측위 알고리즘의 연구나 개발은 아직 미비하다. 본 논문에서는 실내 측위에서 UWB의 장점을 극대화 할 수 있는 TDOA 알고리즘 중 대표적인 두 가지 알고리즘을 분석하고 이를 UWB 실내 측위에 이용할 때 얼마나 정확한 위치를 추정할 수 있는지를 시뮬레이션을 통해 분석한다. 또한 UWB 채널모델을 분석하고 오차요소를 시뮬레이션에 적용하여 그 결과를 비교분석하며, 시뮬레이션 결과를 바탕으로 실내 측위를 위한 UWB의 가능성 및 적합한 알고리즘을 제안한다.

• Journal of Magnetics
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• 제22권1호
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• pp.150-154
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• 2017

A novel high precision spatial positioning method utilizing the electromagnetic momentum, i.e., Electromagnetic Momentum Positioning (EMP), is proposed in this paper. By measuring the momentum of the electromagnetic field around the small current loop, the relative position between the sensor and the current loop is calculated. This method is particularly suitable for the application of close-range and high-precision positioning, e.g., data gloves and medical devices in personal healthcare, etc. The simulation results show that EMP method can give a high accuracy with the positioning error less than 1 mm, which is better than the traditional magnetic positioning devices with the error greater than 1 cm. This method lays the foundation for the application of data gloves to meet the accurate positioning requirement, such as the high precision interaction in Virtual Reality (VR), Augmented Reality (AR) and personal wearable devices network.

• 대한기계학회논문집A
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• 제29권2호
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• pp.311-317
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• 2005

NC controller parameters are fixed when the controller is combined with a machine. However, the characteristics of controller could be changed as it has being used by the machine or other environmental conditions. Ultimately, it results in tool positioning accuracy changing. The loading torque in servo motor also influences on the positioning accuracy. This study focus on a measuring and analysing method for verifying the angular positioning accuracy of NC servo motor. We used a high resolution A/D converter for acquiring analogue signal of rotary encoder in servo motor. Generating tool path by the combination of axial movements (X,Y,Z) is compared with the encoder signals with the servo motor torque. The current variation signal is also read from the servo motor power using a hall sensor and converted to the motor torque. The method of analysing proposed in this study will be used for determining the gains (tuning) of parameter in NC controller, when the controller is set up at a machine initially or the controller condition is changed during the work.