• 해양환경안전학회지
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• 제24권6호
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• pp.701-708
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• 2018

인적오류는 해양사고의 중요한 원인이고, 인적오류의 식별은 해양사고 예방에 근간이 된다. 특히, 선교팀(항해사와 조타수)이 주어진 상황에서 취한 기술적인 행동 패턴은 인적오류 식별에 중요한 정보를 제공한다. 본 연구의 목적은 익수자 구조를 위한 윌리암슨 선회법(Williamson's Turn)을 이용하여 선교팀들의 기술적인 행동 패턴을 식별하고 분석하기 위한 것이다. 이를 위한 본 연구의 핵심은 실험을 실시하는 과정에서 나타난 선교팀의 인적 행동 요인에 대한 인지모델을 구축하고 분석하는 것이다. 실험환경은 선박조종 시뮬레이터를 이용하여 구축하고, 24개 선교팀으로 구성된 참가자들을 대상으로 실험을 진행하였다. 실험결과, 방향타와 기관을 사용한 항적유지와 선박조종에 대한 행동 패턴을 식별할 수 있었다. 본 연구는 선원의 자격 및 훈련에 적용하여 선교팀의 인적오류를 보완하고 보정하는데 기여할 수 있을 것으로 기대된다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회A
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• pp.1179-1184
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• 2007

An unmaned surveillance robot consists of rifle, laser receiver, thermal imager, color CCD camera, and laser illuminator. A human guard can be replaced with such a robot to take care dangerous surveillance tasks. Currently most of surveillance robots are mounded at a fixed post to take care of surveillance tasks. In order to watch blind areas, it is necessary to modify such a surveillance robot to become a mobile robot. In this paper, simulation based design procedure of mobile surveillance robot has been introduced. 3D CAD geometry model has been produced using Pro-Engineer. Required pen and tilt motor capacities have been analyzed using ADAMS inverse dynamics analysis. A target tracking and stabilization control algorithm of the mobile surveillance robot has been developed in order to stabilize the system from the motion of the vehicle which experiences the rough terrain. ADAMS-Matlab co-simulation has been also carried out to validate the proposed target tracking and stabilization algorithm.

• 로봇학회논문지
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• 제10권3호
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• pp.171-177
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• 2015

A telerobot offers a more engaging and enjoyable interaction with people at a distance by communicating via audio, video, expressive gestures, body pose and proxemics. To provide its potential benefits at a reasonable cost, this paper presents a telepresence robot system for video communication which can deliver speaker's head motion through its display stanchion. Head gestures such as nodding and head-shaking can give crucial information during conversation. We also can assume a speaker's eye-gaze, which is known as one of the key non-verbal signals for interaction, from his/her head pose. In order to develop an efficient head tracking method, a 3D cylinder-like head model is employed and the Harris corner detector is combined with the Lucas-Kanade optical flow that is known to be suitable for extracting 3D motion information of the model. Especially, a skin color-based face detection algorithm is proposed to achieve robust performance upon variant directions while maintaining reasonable computational cost. The performance of the proposed head tracking algorithm is verified through the experiments using BU's standard data sets. A design of robot platform is also described as well as the design of supporting systems such as video transmission and robot control interfaces.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권1호
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• pp.60-65
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• 2012

This paper presents a method for occluded object based motion estimation and tracking system in dynamic image sequences using particle filter with 3D reconstruction. A unique characteristic of this study is its ability to cope with partial occlusion based continuous motion estimation using particle filter inspired from the mirror neuron system in human brain. To update a prior knowledge about the shape or motion of objects, firstly, fundamental 3D reconstruction based occlusion tracing method is applied and object landmarks are determined. And optical flow based motion vector is estimated from the movement of the landmarks. When arbitrary partial occlusions are occurred, the continuous motion of the hidden parts of object can be estimated by particle filter with optical flow. The resistance of the resulting estimation to partial occlusions enables the more accurate detection and handling of more severe occlusions.

• 전기학회논문지
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• 제64권2호
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• pp.297-303
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• 2015

We propose a disturbance observer(DOB) based feedback linearization control to improve position tracking performance in the presence of disturbance. The proposed method consists of a disturbance observer and a feedback linearization controller. The disturbance observer is designed to estimate the load force disturbance in electro-hydraulic systems. An auxiliary state variable is proposed in order to avoid amplification of the measurement noises in the disturbance observer. Using the estimated disturbance enables the Electro-hydraulic servo systems(EHS) dynamics to be changed into feedback linearization from. In order to compensate for the disturbance and to track the desired position, the feedback linearization based controller is proposed. The proposed method has a simple structure which can easily be implemented in practice. As a result, the proposed method improves the position tracking performance in the presence of disturbance. Its performance is validated via simulations.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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• pp.123-125
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• 2006

This paper discusses the method of vision based sensor fusion system for biped robot walking. Most researches on biped walking robot have mostly focused on walking algorithm itself. However, developing vision systems for biped walking robot is an important and urgent issue since biped walking robots are ultimately developed not only for researches but to be utilized in real life. In the research, systems for environment recognition and tole-operation have been developed for task assignment and execution of biped robot as well as for human robot interaction (HRI) system. For carrying out certain tasks, an object tracking system using modified optical flow algorithm and obstacle recognition system using enhanced template matching and hierarchical support vector machine algorithm by wireless vision camera are implemented with sensor fusion system using other sensors installed in a biped walking robot. Also systems for robot manipulating and communication with user have been developed for robot.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 1998년도 가을 학술발표논문집 Vol.25 No.2 (2)
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• pp.384-386
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• 1998

The use of hand gesture provides an attractive alternative to cumbersome interface devices for human-computer interaction(HCI). Many methods hand gesture recognition using visual analysis have been proposed such as syntactical analysis, neural network(NN), Hidden Markov Model(HMM) and so on. In our research, a HMMs is proposed for alphabetical hand gesture recognition. In the preprocessing stage, the proposed approach consists of three different procedures for hand localization, hand tracking and gesture spotting. The hand location procedure detects the candidated regions on the basis of skin-color and motion in an image by using a color histogram matching and time-varying edge difference techniques. The hand tracking algorithm finds the centroid of a moving hand region, connect those centroids, and thus, produces a trajectory. The spotting a feature database, the proposed approach use the mesh feature code for codebook of HMM. In our experiments, 1300 alphabetical and 1300 untrained gestures are used for training and testing, respectively. Those experimental results demonstrate that the proposed approach yields a higher and satisfying recognition rate for the images with different sizes, shapes and skew angles.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권12호
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• pp.5422-5441
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• 2016

Despite the abundant literature in the field, there is still the need to find a time-efficient, highly accurate, easy to deploy and robust localization algorithm for real use. The algorithm only involves minimal human intervention. We propose an enhanced Received Signal Strength Indicator (RSSI) based positioning algorithm for Wi-Fi capable devices, called the Dynamic Weighted Evolution for Location Tracking (DWELT). Due to the multiple phenomena affecting the propagation of radio signals, RSSI measurements show fluctuations that hinder the utilization of straightforward positioning mechanisms from widely known propagation loss models. Instead, DWELT uses data processing of raw RSSI values and applies a weighted posterior-probabilistic evolution for quick convergence of localization and tracking. In this paper, we present the first implementation of DWELT, intended for 1D location (applicable to tunnels or corridors), and the first step towards a more generic implementation. Simulations and experiments show an accuracy of 1m in more than 81% of the cases, and less than 2m in the 95%.

• 한국전자통신학회논문지
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• 제12권2호
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• pp.309-314
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• 2017

최근에는 가사 로봇, 자율주행 전기 자동차, 경영 효율성을 제고하기 위한 제철소 용선차의 자율 운행 분야가 큰 관심을 받고 있는데, 사람의 간섭 없이 전원을 로봇이나 차량에 공급하기 위한 자동 전원 공급 기술 개발이 문제가 되고 있다. 본 논문에서는 자동 전원 공급 기술의 기초 연구로서 주어진 공간에 있는 전원 컨넥터의 리셉터클을 인식하고 그것의 위치를 확인할 수 있는 영상인식 기반의 전원 컨넥터 리셉터클 위치 추적 기초 기술을 연구하며, 오픈 CV 프로그램을 통해서 그 기능성을 확인한다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제4권12호
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• pp.585-588
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• 2015

사물이 실제로 움직이는 속도와 다양한 위치를 정확하게 인식하여 정확하게 3차원 영상정보로 표현하는 기술개발 시도는 무선센서를 활용하여 다양한 분야에서 응용할 수 있다. 3차원 위치 및 속도센서를 조합하여 이동 물체의 위치를 추적하는 시도는 동작의 정확성과 교정을 목적으로 하는 스포츠, 건강관리 분야 등에서 동영상 디스플레이 및 분석 기술과 접목하여 다양한 분석 정보를 제공할 수 있는 특징을 가지고 있다. 본 논문에서는 9축-센서로부터 수집되는 정보를 데이터베이스로 구축하고 이를 웹과 앱의 3차원 공간에서 모니터링할 수 있는 3D 모션 디스플레이를 개발하였다.