• 제어로봇시스템학회논문지
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• 제6권2호
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• pp.155-163
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• 2000

This paper presents a path planning method of the sensor based intelligent vehicle using fuzzy logic controller for avoidance of moving obstacles in unknown environments. Generally it is too difficult and complicated to control intelligent vehicle properly by recognizing unknown terrain with sensors because the great amount of imprecise and ambiguous information has to be considered. In this respect a fuzzy logic can manage such the enormous information in a quite efficient manner. Furthermore it is necessary to use the relative velocity to consider the mobility of obstacles, In order to avoid moving obstacles we must deliberate not only vehicle's relative speed toward obstacles but also self-determined acceleration and steering for the satisfaction of avoidance efficiency. In this study all the primary factors mentioned before are used as the input elements of fuzzy controllers and output signals to control velocity and steering angle of the vehicle. The main purpose of this study is to develop fuzzy controllers for avoiding collision with moving obstacles when they approach the vehicle travelling with straight line and for returning to original trajectory. The ability are and effectiveness of the proposed algorithm are demonstrated by simulations and experiments.

• 한국정보통신학회논문지
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• 제10권9호
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• pp.1718-1726
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• 2006

본 논문에서는 미지의 공간에서 장애물 검출시 스스로 회피를 계획하고 임무를 수행할 수 있는 자율주행 로봇의 주행 알고리즘을 퍼지제어기를 이용하여 설계하였다 장애물의 위치 와 거 리 인식을 위해 초음파센서를 사용하였으며 좌, 우측 바퀴의 각속도 출력 제어를 위하여 퍼지 제어기를 사용하였다. 퍼지제어기의 퍼지화 방법은 싱글톤 방법, 제어규칙은 각 바퀴 49개, 추론법은 간략화 된 Mamdani의 추론법, 비퍼지화 방법은 간략화된 무게중심 법을 사용하였다. 제안한 회피 알고리즘과 퍼지 제어기의 성능 및 실제 적용 가능성의 평가를 위해 이동로봇의 모델링에 근거 한 컴퓨터 시뮬레이션을 수행하였다. 그 결과 이동로봇이 목적지점에 정확히 도착함과 주행 중 인식한 장애물을 효과적으로 회피함을 보였다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2009년도 추계학술대회
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• pp.119-120
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• 2009

국내외 해양사고 통계의 60 ~ 80% 이상이 인적 요인에 의해 발생하는 것으로 보고되고 있다. 그 중에서도 충돌 사고의 경우 80% 이상이 인적요인에 의해 발생하는 것으로 알려져 있다. 이에 선박 간의 충돌 관계에서 항해사들의 피항 특성이 어떻게 나타나고 있으며 피항을 위해 정보 처리하는 과정에서 일반적으로 항해사들은 어떤 요인들을 가지고 판단 및 결정하는지 알아보고자 한다. 항해사의 피항행위에 영향을 미치는 요인에는 여러 가지가 있으나 그 중에서 크게 영향을 미치는 주요 요인들을 중심으로 밝히고자 하였다. 이 논문에서는 피항 과정에서 항해사의 의사결정에 영향을 미치는 주요요인에 대해 체계적으로 분석하였다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.1043-1046
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• 2006

클라이언트의 캐쉬된 데이터 관리는 클라이언트 응용의 정확성을 보장하기 위해 필요하다. 캐쉬 일관성 알고리즘은 탐지 기반과 회피 기반의 두 부류가 있다. 탐지 기반의 캐쉬 일관성 방법은 일단 비일관된 데이터의 접근을 허용하고 완료하기 전 캐쉬된 데이터의 유효성을 검사한다. 반면, 회피 기반의 알고리즘 하에서 트랜잭션은 비일관된 데이터를 접근할 기회를 전혀 갖지 않는다. 이 논문에서는 회피 기반의 버전을 이용한 새로운 캐쉬 일관성 알고리즘을 제안한다. 제안하는 방법은 서버와 클라이언트에 이중 버전을 유지하여 단일 버전만 사용한 방법에 비하여 콜백으로 인한 메시지 교환을 제거하고 트랜잭션의 철회율을 감소시킬 수 있다. 또한 갱신 전달을 위하여 무효화와 전파를 혼합하여 사용함으로써 캐쉬 실패를 최소화하였다.

• 한국항공운항학회지
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• 제30권2호
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• pp.34-43
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• 2022

In Efforts to prevent CFIT accidents so far, have been emphasizing various education measures to minimize the occurrence of human errors, as well as enforcement measures. However, current engineering measures remain in a system (TAWS) that gives warnings before colliding with ground or obstacles, and even actual automatic avoidance maneuvers are not implemented, which has limitations that cannot prevent accidents caused by human error. Currently, various attempts are being made to apply machine learning-based artificial intelligence agent technologies to the aviation safety field. In this paper, we propose a deep reinforcement learning-based artificial intelligence agent that can recognize CFIT situations and control aircraft to avoid them in the simulation environment. It also describes the composition of the learning environment, process, and results, and finally the experimental results using the learned agent. In the future, if the results of this study are expanded to learn the horizontal and vertical terrain radar detection information and camera image information of radar in addition to the terrain database, it is expected that it will become an agent capable of performing more robust CFIT autonomous avoidance.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.831-833
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• 2004

In this paper, an obstacle avoidance algorithm is proposed for a network-based robot considering network delay by distribution. The proposed algorithm is based on the VFH(Vector Field Histogram) algorithm, and for the network-based robot system, in which it is assumed robot localization information is transmitted through network communication. In this paper, target vector for the VFH algorithm is estimated through the robot localization information and the measurement of its delay by distribution. The delay measurement is performed by time-stamp method. To synchronize all local clocks of the nodes distributed on the network, a global clock synchronization method is adopted. With the delay measurement, the robot localization estimation is performed by calculating the kinematics of the robot. The validation of the proposed algorithm is performed through the performance comparison of the obstacle avoidance between the proposed algorithm and the existing VFH algorithm on the network-based autonomous mobile robot.

• 한국정밀공학회지
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• 제16권12호
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• pp.182-189
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• 1999

In this paper, we present an ultrasonic sensor based path planning method using fuzzy logic for obstacle avoidance of an intelligent vehicle in unknown environments. Generally, Robot navigation in unknown terrains is a very complex task difficult to control because of the great amount of imprecise and ambiguous sensor information that has to be considered. In this case, fuzzy logic can satisfactorily deal with such information in quite efficient manner. In this study, we propose two fuzzy logic controller which is composed of steering controller and velocity controller respectively. Our object is to develop a fuzzy controller that can enable a mobile robot to navigate from a start point to a goal point without collisions, in the least possible travel time. The ability and effectiveness for the proposed algorithm will be demonstrated by simulation and expeiment.

• Journal of Mechanical Science and Technology
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• 제17권11호
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• pp.1693-1703
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• 2003

This paper presents a new local obstacle avoidance method for indoor mobile robots. The method uses a new directional approach called the Lane Method. The Lane Method is combined with a velocity space method i.e., the Curvature-Velocity Method to form the Lane-Curvature Method (LCM). The Lane Method divides the work area into lanes, and then chooses the best lane to follow to optimize travel along a desired goal heading. A local heading is then calculated for entering and following the best lane, and CVM uses this local heading to determine the optimal translational and rotational velocities, considering some physical limitations and environmental constraint. By combining both the directional and velocity space methods, LCM yields safe collision-free motion as well as smooth motion taking the physical limitations of the robot motion into account.

• 로봇학회논문지
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• 제13권2호
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• pp.121-128
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• 2018

Obstacle avoidance is one of the most important parts of autonomous mobile robot. In this study, we proposed safe and efficient local path planning of robot for obstacle avoidance. The proposed method detects and tracks obstacles using the 3D depth information of an RGB-D sensor for path prediction. Based on the tracked information of obstacles, the paths of the obstacles are predicted with probability circle-based spatial search (PCSS) method and Gaussian modeling is performed to reduce uncertainty and to create the cost function of caution. The possibility of collision with the robot is considered through the predicted path of the obstacles, and a local path is generated. This enables safe and efficient navigation of the robot. The results in various experiments show that the proposed method enables robots to navigate safely and effectively.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 공동추계학술대회
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• pp.197-204
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• 2005

In this paper, we propose a method to an obstacle avoidance of chaotic robots that have unstable limit cycles in a chaos trajectory surface in the ubiquitous environment. We assume all obstacles in the chaos trajectory surface have a Van der Pol equation with an unstable limit cycle. We also show computer simulation results of Chua's equation, Lorenz equation, Hamilton and Hyper-chaos equation trajectories with one or more Van der Pol as an obstacles. We proposed and verified the results of the method to make the embedding chaotic mobile robot to avoid with the chaotic trajectory in any plane.