• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.318-321
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• 2011

도로 주행 시 운전을 보조하고 안전 운전을 지원하기 위한 기술인 도로상황인지 시스템에 있어 효율적인 차선 차간 검출 기법은 위의 핵심적인 기술이다. 실시간으로 수집되는 도로 상황 영상 데이터 분석에 대한 처리 시간을 단축하기 위하여 각각의 영상 프레임에 대해 관심 영역을 설정한 후 허프 변환을 적용하였다. 본 논문은 카메라로 수집되는 도로 상황 영상에 관심 영역 설정을 통한 실시간 차선 차간 인식에 관한 연구로서, 차선과 차간 인식을 위한 효율적인 알고리즘을 제안한다.

• Journal of Biomedical Engineering Research
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• v.45 no.2
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• pp.57-65
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• 2024

Recently, several studies have been conducted to lower the cost of transport of human by adding external joint stiffness elements. However, it has not been clearly elucidated whether adaptation time is required for human subjects to adapt to the added external joint stiffness. In this study, carbon plates in the form of shoe midsoles were added to the metatarsophalangeal joint, and the lower limb joint torque and mechanical energy consumption were compared before and after a total of 5 sessions (2.5 weeks) of running. A total of 11 young healthy participants exhibited higher elastic energy storage in carbon plates in the fifth session compared to the first session, and lower power in the ankle joint. This suggests that a single training session may be insufficient to validate the efficiency effect of added joint stiffness, and the human body seems to increase the elastic energy stored in the assistive joint stiffness and its reutilization.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.8-8
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• 2017

본 연구는 로타리 작업에 따른 105마력급 농업용 트랙터의 소요동력을 분석하기 위하여 수행되었다. 소요동력 측정 시스템은 차축 토크미터, PTO 토크미터, 주/보조 유압센서, 데이터 수집장치를 이용하여 구성하였다. 시험에 사용된 트랙터는 동양물산 105 HP급 트랙터 (S07, TYM, Korea)이며, 작업기는 로타베이터 (SW 230GL, Sungwoo Industrial Co. Ltd, Korea)를 사용하였다. 포장시험은 전라북도 부안군에 죽림길에 위치한 $4,000m^2$ ($100m{\times}40m$) 크기의 경작지 2곳에서 수행하였다. 포장시험 시 작업 단수는 주행단수 L3단 (2.38 km/h)에서 PTO 단수 1단 (540 rpm)과 2단 (750 rpm)으로 설정하였고, 로타리 작업 시 경심은 13 cm 조건에서 실시하였다. 트랙터 작업은 동양물산의 성능시험 업무를 맡고 있는 숙련된 작업자가 숙달된 방법으로 수행하였다. 포장시험지의 토양환경은 임의의 15곳에서 채취한 시료를 이용하여 토성, 함수율, 원추 관입지수에 대하여 미국 농무부 (USDA)법을 기준으로 분석하였다. 토양환경 분석 결과 토성은 Sandy loam (사양토), 평균 함수율은 35.15%, 평균 원추관입지수는 1,562 kPa로 나타났다. PTO 1단 작업 시 트랙터의 평균 소요동력은 차축, PTO, 주 유압, 보조 유압에 대하여 각각 1.8, 54.0, 1.3, 그리고 1.1 hp로 나타났다. PTO 2단 작업 시 트랙터의 평균 소요동력은 차축, PTO, 주 유압, 보조 유압에 대하여 각각 1.2, 79.4, 1.2, 그리고 1.0 hp로 나타났다. PTO 1단 작업 시 소요동력의 합은 58.2 hp로, 정격 마력 (105 hp) 대비 55.43 % 사용한 것으로 나타났으며, PTO 2단 작업 시 소요동력의 합은 82.8 hp로, 정격 마력 대비 78.85% 사용한 것으로 나타났다. PTO 1단 대비 2단에서는 PTO를 제외한 차축, 주 유압, 보조 유압의 소요동력이 감소하였으나, PTO에서 약 1.47배로 크게 증가하여 전체적으로 소요동력이 증가한 것으로 나타났다. 향후 다양한 작업기 및 작업 단수에 따른 소요동력을 분석하여 농업용 트랙터의 모든 부하 조건에 대한 데이터베이스 구축에 관한 연구를 수행할 예정이다.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.4
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• pp.251-258
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• 2014

A wheelchair is a typical mobility aid for the physically disabled or the old and the weak, and is the most commonly used rehabilitation aid. In general, most of users of manual wheelchair have difficulty though vocational rehabilitation and independent living is possible. The reason is that long-distance movement is always accompanied with wheelchair transfer problem because a wheelchair is used as direct means of transport. Hence, the wheelchair transfer problem should be first solved in order that a wheelchair user can independently live. Therefore, this study examined and analyzed the domestic and overseas launched products and patented technologies of wheelchair transfer system for vehicle, and proposed a wheelchair transfer mechanism of a new system for vehicle. This study proposed a wheelchair transfer mechanism for vehicle in order to remove the disadvantage of wheelchair transfer system for vehicle to support the conventional wheelchair user's movement, and in order to conform with the structure of domestic welfare vehicle for the disabled. Because a difference between storage space installed in the roof of vehicle and storage space for leisure, which is generally utilized, gets to disappear by applying this proposed mechanism, popularity among users can be increased. And storage space that has become smaller like this will be capable of decreasing the disadvantage of air resistance in traveling. Besides, because of getting to conform with the structure of welfare vehicle, restrictions on the application range will disappear from small sedan to SUV. Therefore, users can have more choices.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.208-221
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• 2020

The objective of this study is to estimate and analyze the traffic density of continuous flow using the trajectory of individual vehicles and the headway of sample probe vehicles-front vehicles obtained from ADAS (Advanced Driver Assitance System) installed in sample probe vehicles. In the past, traffic density of continuous traffic flow was mainly estimated by processing data such as traffic volume, speed, and share collected from Vehicle Detection System, or by counting the number of vehicles directly using video information such as CCTV. This method showed the limitation of spatial limitations in estimating traffic density, and low reliability of estimation in the event of traffic congestion. To overcome the limitations of prior research, In this study, individual vehicle trajectory data and vehicle headway information collected from ADAS are used to detect the space on the road and to estimate the spatiotemporal traffic density using the Generalized Density formula. As a result, an analysis of the accuracy of the traffic density estimates according to the sampling rate of ADAS vehicles showed that the expected sampling rate of 30% was approximately 90% consistent with the actual traffic density. This study contribute to efficient traffic operation management by estimating reliable traffic density in road situations where ADAS and autonomous vehicles are mixed.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.149-155
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• 2021

In this study, we intend to develop a defective road surface object recognition model that automatically detects road surface defects that restrict the movement of the transportation handicapped using electric mobile devices with deep learning. For this purpose, road surface information was collected from the pedestrian and running routes where the electric mobility aid device is expected to move in five areas within the city of Busan. For data, images were collected by dividing the road surface and surroundings into objects constituting the surroundings. A series of recognition items such as the detection of breakage levels of sidewalk blocks were defined by classifying according to the degree of impeding the movement of the transportation handicapped in traffic from the collected data. A road surface object recognition deep learning model was implemented. In the final stage of the study, the performance verification process of a deep learning model that automatically detects defective road surface objects through model learning and validation after processing, refining, and annotation of image data separated and collected in units of objects through actual driving. proceeded.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.65-72
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• 2006

The traffic lights detection and recognition system is an essential module of the driver warning and assistance system. A method which is a color vision-based real time detection and recognition of traffic lights is presented in this paper This method has four main modules : traffic signals lights detection module, traffic lights boundary candidate determination module, boundary detection module and recognition module. In traffic signals lights detection module and boundary detection module, the color thresholding and the subtraction value of saturation and intensity in HSI color space and detection probability mask for lights detection are used to segment the image. In traffic lights boundary candidate determination module, the detection mask of traffic lights boundary is proposed. For the recognition module, the AND operator is applied to the results of two detection modules. The input data for this method is the color image sequence taken from a moving vehicle by a color video camera. The recorded image data was transformed by zooming function of the camera. And traffic lights detection and recognition experimental results was presented in this zoomed image sequence.

• Journal of KIISE
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• v.44 no.1
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• pp.44-50
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• 2017

Pedestrian detection, an important component of autonomous driving and driving assistant system, has been extensively studied for many years. In particular, image based pedestrian detection methods such as Hierarchical classifier or HOG and, deep models such as ConvNet are well studied. The evaluation score has increased by the various methods. However, pedestrian detection requires high sensitivity to errors, since small error can lead to life or death problems. Consequently, further reduction in pedestrian detection error rate of autonomous systems is required. We proposed a new method to detect pedestrians and reduce the error rate by using the Faster R-CNN with new developed pedestrian training data sets. Finally, we compared the proposed method with the previous models, in order to show the improvement of our method.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.1
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• pp.51-56
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• 2003

The main goal of existing mobile robot system was a complete autonomous navigation and the vision information was just used as an assistant way such as monitoring For this reason, the researches have been going towards sophistication of autonomousness gradually and the production costs also has been risen. However, it is also important to control remotely an inexpensive mobile robot system which has no intelligence at all. Such systems may be much more effective than fully autonomous systems in practice. Visual information from a simple camera and distance information from ultrasonic sensors are used for this system. Collision avoidance becomes the most important problem for this system. In this paper, we developed a force feedback joystick to control the robot system remotely with collision avoiding capability. Fuzzy logic is used for the algorithm in order to implement the expert s knowledge intelligently. Some experimental results show the force feedback joystick werks very well.

• Journal of Korean Society for Geospatial Information Science
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• v.25 no.2
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• pp.21-29
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• 2017

For the efficient and stable operation of autonomous vehicles or advanced driver assistance systems being actively studied nowadays, it is important to determine the positions of the vehicle accurately and economically. A satellite based navigation system is mainly used for positioning, but it has a limitation in signal blockage areas. To overcome this limitation, sensor fusion methods including additional sensors such as an inertial navigation system have been mainly proposed but the high sensor cost has been a problem. In this work, we develop a vehicle position estimation algorithm using in-vehicle sensors and a low-cost imaging sensor without any expensive additional sensor. We determine the vehicle positions using the velocity and yaw-rate of a car from the in-vehicle sensors and the position and attitude of the camera based on the single photo resection process. For the evaluation, we built a prototype system, acquired test data using the system, and estimated the trajectory. The proposed algorithm shows the accuracy of about 40% higher than an in-vehicle sensor only method.