• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.320-325
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• 1998

Underwater robotic vehicles (URVs) have been an important tool for various underwater tasks because they have greater speed, endurance, depth capability, and safety than human divers. As the use of such vehicles increases, the vehicle control system becomes one of the most critical subsytems to increase autonomy of the vehicle. The vehicle dynamics are nonlinear and their hydrodynamic coefficients are often difficult to estimate accurately. In this paper a new type of fuzzy model-based controller based on Takagi-Sugeno-Kang fuzzy model is designed and applied to the control of of an underwater robotic vehicle. The proposed fuzzy controller : 1) is a nonlinear controller, but a linear state feedback controller in the consequent of each local fuzzy control rule ; 2) can guarantee the stability of the closed-loop fuzzy system ; 3) is relatively easy to implement. Its good performance as well as its robustness to the change of parameters have been shown and compared with the re ults of conventional linear controller by simulation.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권1호
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• pp.82-86
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• 2008

The article presents ARTMAP and Fuzzy BK-Product approach underwater obstacle avoidance for the Autonomous underwater Vehicles (AUV). The AUV moves an unstructured area of underwater and could be met with obstacles in its way. The AUVs are equipped with complex sensorial systems like camera, aquatic sonar system, and transducers. A Neural integrated Fuzzy BK-Product controller, which integrates Fuzzy logic representation of the human thinking procedure with the learning capabilities of neural-networks (ARTMAP), is developed for obstacle avoidance in the case of unstructured areas. In this paper, ARTMAP-Fuzzy BK-Product controller architecture comprises of two distinct elements, are 1) Fuzzy Logic Membership Function and 2) Feed-Forward ART component. Feed-Forward ART component is used to understanding the unstructured underwater environment and Fuzzy BK-Product interpolates the Fuzzy rule set and after the defuzzyfication, the output is used to take the decision for safety direction to go for avoiding the obstacle collision with the AUV. An on-line reinforcement learning method is introduced which adapts the performance of the fuzzy units continuously to any changes in the environment and make decision for the optimal path from source to destination.

• 한국ITS학회 논문지
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• 제8권1호
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• pp.30-36
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• 2009

도심지역에서 사용되는 DSRC 통신시스템은 노변기지국과 차량간 100미터의 통신거리를 갖고 있으며, 이 특성을 이용하여 DSRC시스템에서 RSE(Road Side Equipment)는 차량으로부터 교통정보를 수집하거나 차량에 교통정보를 제공한다. 그러나 고속도로상에서 100미터 통신범위를 갖는 RSE를 사용하는 것은 장비가격 및 설치비가 고가이어서 현실적으로 많은 어려움이 있다. 본 논문에서는 RSE의 표준 셀 범위를 100미터에서 300미터로 확장하고 차량단말기가 RSE와 통신할 수 없는 불감지역을 Cover 하기 위하여 Fixed Relay를 도입하였으며, 이로 인해 Fixed Relay를 사용하는 것이 RSE 만을 사용하는 것 보다 더 경제적인 것을 보인다.

• 제어로봇시스템학회논문지
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• 제21권3호
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• pp.217-223
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• 2015

Autonomous driving is no longer atechnology of the future since the development of autonomous vehicles has now been realized, and many technologies have already been developed for the convenience of drivers. For example, autonomous vehicles are one of the most important drive assistant systems. Among these many drive assistant systems, Cruise Control Systems are now a typical technology. This system constantly maintains a vehicle's speed and distance from a vehicle in front by using Radar or LiDAR sensors in real time. Cruise Control Systems do not only serve their original role, but also fulfill another role as a 'Driving Safety' measure as they can detect a situation that a driver did not predict and can intervene by assuming a vehicle's longitude control. However, these systems have the limitation of only focusing on driver safety. Therefore, in this paper, an Intelligent Cruise Control System that utilizes the path planning method and GIS is proposed to overcome some existing limitations.

• 한국컴퓨터정보학회논문지
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• 제19권1호
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• pp.1-8
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• 2014

최근 사용자의 편의성과 안정성을 향상시키기 위해, 자동차 기술과 IT 기술을 접목한 지능형 자동차 개발에 많은 관심이 모아지고 있는데, 그 대표적인 기능으로 무인 자율주행과 스마트 크루즈 컨트롤이 있다. 지능형 자동차는 설계 및 구현 시 자동차가 요구하는 실시간 제약 조건을 만족하는 것이 매우 중요하다. 본 연구에서는 무인 자율주행과 스마트 크루즈 컨트롤 기능을 모형차량에 구현하고, 이에 적합한 실시간 스케줄링 알고리즘을 연산 복잡도가 낮고 구현이 간단한 순환실행체제를 이용하여 설계하였다. 또한 모의실험을 통하여 실제 시스템으로의 적용 가능성을 입증하였다.

• 대한기계학회논문집B
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• 제35권9호
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• pp.955-960
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• 2011

본 연구에서는 실시간 무선 철도시스템 모니터링을 위하여 열차 주행에 따라 발생하는 열 및 진동 에너지를 전기자원화 하는 신재생 에너지 개념의 전력원인 자가발전 구동 기술에 대한 철도시스템 적용 가능성을 확인하였다. 이를 위해 실제 주행 중인 고속열차를 이용하여 철도차량의 운행환경 하에서 발생하는 열에너지와 진동에너지를 실측하여, 주행 중 이들 에너지 발생량 및 변화를 분석하고 이를 통해 진동 및 열 에너지를 이용하는 자가발전 모듈의 예측 전력량을 계산하고, 이 전력량에 대한 이 모니터링 시스템 적용 가능성에 대한 연구를 수행하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권2호
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• pp.140-146
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• 2013

In this paper, we describe a vision sensor-based driving algorithm for indoor automatic guided vehicles (AGVs) that facilitates a path tracking task using two mono cameras for navigation. One camera is mounted on vehicle to observe the environment and to detect markers in front of the vehicle. The other camera is attached so the view is perpendicular to the floor, which compensates for the distance between the wheels and markers. The angle and distance from the center of the two wheels to the center of marker are also obtained using these two cameras. We propose five movement patterns for AGVs to guarantee smooth performance during path tracking: starting, moving straight, pre-turning, left/right turning, and stopping. This driving algorithm based on two vision sensors gives greater flexibility to AGVs, including easy layout change, autonomy, and even economy. The algorithm was validated in an experiment using a two-wheeled mobile robot.

• 한국자동차공학회논문집
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• 제21권1호
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• pp.1-8
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• 2013

Recently, the automotive technology has developed with electronics and information technology as convergence technology while vehicles had been regarded as machines. Moreover, vehicles are becoming more intelligent and safer devices, assembly of advanced technologies by customers' demand. Even though all of installations of vehicle have attracted as diverting devices, it cause drivers' mistakes like delay of response on traffic condition. Here, we proposed the Field Operational Test (FOT) environment which could be used as driving and road conditions collector(Vehicle motion, Traffic condition, Driver input, Driver state, etc.) for researches about Driver Friendly Intelligent System(SCC, LDWS, etc.), Human Vehicle Interface(Driving Workload, etc.) and Economic Drive Model. Furthermore driving patten and fuel consumption patten of drivers were analyzed by measured data and direction of future research was suggested.

• 한국지능시스템학회논문지
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• 제13권6호
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• pp.722-728
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• 2003

In this paper, we propose a fuzzy traffic controller of Sugeno`s fuzzy model so as to model the nonlinear characteristics of controlling the traffic light. It use a degree of the traffic congestion of the preceding roads as an input so that it can cope with traffic congestion appropriately, which causes the loss of fuel and our discomfort. First, in order to construct fuzzy traffic controller of Sugeno`s fuzzy model, we model the control process of the traffic light by using Mamdani`s fuzzy model, which has the uniform membership functions of the same size and shape. Second, we make Mamdani`s fuzzy model with the non-uniform membership functions so that it can exactly reflect the knowledge of experts and operators. Last, we construct the fuzzy traffic controller of Sugeno`s fuzzy model by learning from the input/output data, which is retrieved from Mamdani`s fuzzy model with the non-uniform membership functions. We compared and analyzed the fixed traffic light controller, the fuzzy traffic controller of Mamdani`s fuzzy model and the fuzzy traffic controller of Sugeno`s fuzzy model by using the delay time and the proportion of the entered vehicles to the occurred vehicles. As a result of comparison, the fuzzy traffic controller of Sugeno`s fuzzy model showed the best performance.

• 한국지능시스템학회논문지
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• 제22권2호
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• pp.161-167
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• 2012

본 연구는 무인 차량의 도로에서의 자율주행을 위한 경유점을 지정하는 방법에 관한 것이다. 무인 차량이 현재 위치와 목표 위치의 전역 좌표를 알고 주어진 도로 지도 상에서 경로 계획을 한다면 어떤 도로의 어떤 차선을 거쳐 가야 하는지 미리 계획하여야 한다. 또한 이를 위해서는 도로의 위치 정보가 미리 체계적으로 저장되어 데이터베이스화 되어 있어야 한다. 본 논문에서는 도로를 데이터베이스로 저장하는 방법과 그 데이터베이스를 이용하여 최단거리 경로를 계획하고 이동방향과 차선을 고려하여 차량이 지나가야 할 상세한 경유점을 생성한다. 이후 시뮬레이션을 통해 제안한 알고리즘으로 도로에 최적화된 경로를 찾을 수 있음을 검증하였다.