• 산업경영시스템학회지
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• 제29권4호
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• pp.1-7
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• 2006

This study determined the optimal positions of the movable steering wheel and pedal systems of industrial vehicle by various body dimensions. The position of objects and starting driving posture were measured by Martin-type anthropometer and goniometer. The X, Y and Z axis of movable steering wheel and pedal systems were measured horizon distance from right side to left side, horizon distance from front side to rear side and vertical distance from floor to ceiling. During the experiment in order to exclude learning effectiveness with forklift driving, 27 subjects who had male not experiences in driving a forklift used in the experiment. The relationship between the position of steering wheel and driver's posture with body dimensions was analyzed by using correlation relation and paired comparison t-test based on the measured data. The pedal location in X and Z axises was not related with various body dimensions. Also, the steering wheel was different among the angles of the right elbow and shoulder depending on the various body dimensions.

• 로봇학회논문지
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• 제8권1호
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• pp.43-50
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• 2013

$A^*$ algorithm is a global path generation algorithm, and typically create a path using only the distance information. Therefore along the path, a moving vehicle is usually not be considered by driving characteristics. Deceleration at the corner is one of the driving characteristics of the vehicle. In this paper, considering this characteristic, a new evaluation function based path algorithm is proposed to decrease the number of driving path corner, in order to reduce the driving cost, such as driving time, fuel consumption and so on. Also the potential field method is applied for driving of UGV, which is robust against static and dynamic obstacle environment during following the generated path of the mobile robot under. The driving time and path following test was occurred by experiments based on a pseudo UGV, mobile robot in downscaled UGV's maximum and driving speed in corner. The experiment results were confirmed that the driving time by the proposed algorithm was decreased comparing with the results from $A^*$ algorithm.

• Journal of Mechanical Science and Technology
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• 제15권6호
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• pp.720-726
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• 2001

This paper describes a vehicle driving-load estimation method for application to vehicle Intelligent Cruise Control (ICC). Vehicle driving-load consists of aerodynamic force, rolling resistance, and gravitational force due to road slope and is unknown disturbance in a vehicle dynamic model. The vehicle driving-load has been estimated from engine and wheel speed measurements using a vehicle dynamic model a least square method. The estimated driving-load has been used in the adaptation of throttle/brake control law. The performance of the control law has been investigated via both simulation and vehicle tests. The simulation and test results show that the proposed control law can provide satisfactory vehicle-to-vehicle distance control performance for various driving situations.

• 제어로봇시스템학회논문지
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• 제16권6호
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• pp.517-523
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• 2010

In this paper, we proposed an algorithm to detect aggressive driving status by analysing six kinds of driving patterns, which was achieved by comparing for the feature vectors using mahalanobis distance. The first step is to construct feature matrix of $6{\times}2$ size using frequency response of the time-series accelerometer data. Singular value decomposition makes it possible to find the dominant eigenvalue and its corresponding eigenvector. We use the eigenvector as the feature vector of the driving pattern. We conducted real experiments using three drivers to see the effects of recognition. Although there exists differences from individual drivers, we showed that driving patterns can be recognized with about 80% accuracy. Further research topics will include the development of aggressive driving warning system by improving the proposed technique and combining with post-processing of accelerometer signals.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집
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• pp.628-635
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• 2009

To assure the safety of urban railway train, it is necessary to observe the specified driving principles under an essential condition during running on tracks. These principles arises from a great deal of experience for a long time and include safe distance between trains, the railway signaling, block system, regular block of the highest priority and driving prohibition of simple railway vehicle in the main track, etc. Therefore, it is important to apply these principles to domestic urban railway driving regulations and railway vehicle driving regulations. However, domestic urban railway administrator established his own operation rules within the regulation. In this study, domestic urban railway administration's own rules are examined and the appropriate driving regulation on the safe driving principles is proposed.

• 한국기후변화학회지
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• 제4권4호
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• pp.359-369
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• 2013

본 논문에서는 소형자동차에 이동식 배출가스 측정장비(PEMS)를 탑재하여 서울 도심의 실제 도로를 주행하고, 주행인자와 $CO_2$ 배출량 간의 상관관계를 분석하였다. 주요 주행인자로는 평균차속, 상대가속도(RPA-Relative Positive Acceleration), 정지비율을 선정하였고, 도로유형을 단속류와 연속류로 구분하여 분석하였다. 주행거리 기반의 이동평균구간 계산 방법을 적용하여 다양한 주행조건에서의 평균값을 구하고, 다중 선형 회귀분석 방법을 통해 주행인자와 $CO_2$ 배출량 간의 상관관계를 조사하였다. 이러한 분석을 통해 자동차의 $CO_2$ 배출량은 평균차속이 증가함에 따라 감소하고, RPA와 정지비율의 증가에 따라 증가하는 경향이 있음을 통계적인 방법으로 확인하였다. 단속류는 연속류와 비교하였을 때 평균차속이 상당히 낮고, RPA와 정지비율은 높게 나타나는데, 이러한 주행인자분포의 차이로 인해 단속류의 단위주행거리 당 $CO_2$ 배출량이 높은 것으로 판단된다.

• 한국산학기술학회논문지
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• 제21권12호
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• pp.857-866
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• 2020

'이동'이란 사람들이 매 순간 행동하고, 타인과 교류하며 특정 목적을 달성하는 '장소'의 확장 개념으로 이동에 불편함을 느끼는 사회적 교통약자에게 있어 이동보조수단인 휠체어는 신체적·정신적 삶의 질을 향상하는데 아주 큰 영향을 발휘한다. 이러한 휠체어는 수동식 휠체어와 전동식 휠체어로 구분되는데, 수동식 휠체어는 이용자의 팔과 손의 힘으로 앞으로 추진하게 된다. 하지만 전동식 휠체어는 배터리를 통해 모터에 전기에너지를 공급 해 주고, 모터의 회전에 의해 앞으로 추진하게 된다. 전동휠체어는 주로 실외활동을 중점으로 개발되고 있으나 최근에는 일상생활의 주 공간인 실내용 이동보조수단에 대한 개발 요구가 증가하게됨에 따라 실내용 전동휠체어 개발 또한 활발하게 이루어지고 있다. 실내용 이동보조수단의 경우 공간의 특성상 단거리를 반복 주행하므로 본 연구에서는 전동휠체어의 단거리 주행에 따른 리튬이온배터리의 주행특성을 확인하고, 연속주행의 리튬이온배터리 주행특성을 비교분석하였다. 단거리 주행의 경우 리튬이온배터리의 방전종지전압 도달 시 까지 5초 주행 1초 정지를 반복수행하였다. 리튬이온 배터리를 적용한 실내용 전동휠체어의 주행특성을 분석한 결과 실내 이동을 고려한 단거리 주행시험의 경우 연속주행보다 주행시간이 2.8% 짧아진 것을 확인하였다. 실내용 전동휠체어의 회전모터에 인가 된 전류의 경우 실내 이동을 고려한 단거리 주행이 연속주행 보다 15.4% 높게 나타난 것을 확인하였다.

• 한국ITS학회 논문지
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• 제21권3호
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• pp.83-95
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• 2022

본 논문은 자율주행 차량 적용을 위한 객체 검출과 거리 추정을 수행하는 시스템을 제안한다. 객체 검출은 최근 활발하게 사용되는 딥러닝 모델 YOLOv4의 특성을 이용해서 입력 이미지 비율에 맞춰 분할 grid를 조정하고 자체 데이터셋으로 전이학습된 네트워크로 수행한다. 검출된 객체까지의 거리는 bounding box와 homography를 이용해 추정한다. 실험 결과 제안하는 방법에서 전반적인 검출 성능 향상과 실시간에 가까운 처리 속도를 보였다. 기존 YOLOv4 대비 전체 mAP는 4.03% 증가했다. 도심로 주행시 빈출하는 보행자, 차량 및 공사장 고깔(cone), PE드럼(drum) 등의 객체 인식 정확도가 향상되었다. 처리 속도는 약 55 FPS이다. 거리 추정 오차는 X 좌표 평균 약 5.25m, Y 좌표 평균 0.97m으로 나타났다.

• International Journal of Internet, Broadcasting and Communication
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• 제8권4호
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• pp.54-57
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• 2016

In this paper, the method for an effective and intelligent route decision of the automatic ground vehicle (AGV) using a 2D spatial map of the stereo camera system is proposed. The depth information and disparity map are detected in the inputting images of a parallel stereo camera. The distance between the automatic moving robot and the obstacle detected and the 2D spatial map obtained from the location coordinates, and then the relative distance between the obstacle and the other objects obtained from them. The AGV moves automatically by effective and intelligent route decision using the obtained 2D spatial map. From some experiments on robot driving with 480 frames of the stereo images, it is analyzed that error ratio between the calculated and measured values of the distance between the objects is found to be very low value of 1.57% on average, respectably.

• 대한임베디드공학회논문지
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• 제6권3호
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• pp.157-167
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• 2011

Although vehicles become more intelligent for convenience and safety of drivers, traffic accidents are increased more and more. Especially, car-to-car single rear impacts in the urban area are increased rapidly because of driver inattention. To prevent rear impacts in the urban area, commercial automobile vendor applies the low-speed short-distance collision warning system. This paper presents low-speed short-distance collision warning algorithm for the city driving by using sensor fusion of laser sensor and ultrasonic sensor. An experiment using embedded microprocessor in the driving track was used to demonstrate the feasibility of the collision warning algorithm.