• 한국자동차공학회논문집
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• 제19권3호
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• pp.9-15
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• 2011

This study analyzed contributing factors affecting leg injury severity in pedestrian-vehicle crashes. A Binary Logistic Regression (BLR) method was used to identify the factors. Independent variables include characteristics for pedestrian, vehicle, road, and environmental conditions. The leg injury severity is classified into two classes, which are dependent variables in this study, such as 'severe' and 'minor' injuries. Pedestrian age, collision speed, and the height of vehicle were identified as significant factors for the leg injury. The probabilistic outcome of predicting leg injury severity can be effectively used in not only deriving pedestrian-related safety policies but also developing advanced vehicular technologies for pedestrian protection.

• 한국자동차공학회논문집
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• 제15권4호
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• pp.1-9
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• 2007

This study proposes a methodology to assess the traffic safety benefits of technical regulation for pedestrian leg. Traffic safety benefit is defined as the injury reduction in this study. Actual accident analysis and simulation experiments using LS-Dyna3d are conducted to establish statistical models for developing the methodology. The relationship between collision speed and parameters of the regulation is explored. An application example of the proposed methodology is also presented for more comprehensive understanding. It is believed that the proposed methodology would be greatly utilized in developing various technologies and policies to protect pedestrian.

• 자동차안전학회지
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• 제6권1호
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• pp.16-21
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• 2014

Recently Korea and many countries are legislated for pedestrian protection as following the GTR(Global Technical Regulation). Most NCAP organization have been applying pedestrian protection results in their own rating system in individual or overall rating. Euro NCAP agency has been introduced it first. From the beginning, Euro NCAP had assessed occupant and pedestrian protection. It has become to strengthen a pedestrian protection protocol every time published. Korea NCAP also has been rating pedestrian protection with overall rating system. This paper proposed to study new pedestrian protection protocol especially upper leg in order to find injury response based on physical test. On Euro NCAP, the upper leg injury are assessed two kind of value which are bending moment and force.

• 한국자동차공학회논문집
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• 제16권4호
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• pp.8-13
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• 2008

Since hundreds thousands of pedestrians are killed or injured in car accidents every year, a variety of research efforts have been performed to protect pedestrians in pedestrian-vehicle crashes. The IHRA reports that injuries on the child head, the adult head, and the adult lower leg/knee are the most critical in the crashes. Identifying the current status of international activities on pedestrian protection, this study, in particular, carries out headform impact test using selected domestic vehicles categorized by three groups - Sedan, SUV (Sport Utility Vehicle), and 1 Box (One Box) Vehicle. According to the valuable findings from the test results, this paper proposes a methodology under which the Korean Technical Regulation for protecting pedestrians in pedestrian-vehicle crashes will be developed.

• 제어로봇시스템학회논문지
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• 제16권9호
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• pp.866-871
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• 2010

Gait analysis is essential for leg diagnosis and rehabilitation for the patients, the handicapped and the elderly. The use of 3D motion capture device for gait analysis is very common for gait analysis. However, this device has several shortcomings including limited workspace, visibility and high price. Instead, we developed gait estimation system using gyroscopes. This system provides gait information including the number of gaits, stride and walking distance. With four gyroscope (one for each leg's thigh and calf) outputs, the proposed gait modeling estimates the movements of the hip, the knees and the feet. Complete pedestrian localization is implemented with gait information and the heading angle estimated from the rate gyro and the magnetic compass measurements. The developed system is very useful for diagnosis and the rehabilitation of the pedestrian at the hospital. It is also useful for indoor localization of the pedestrians.

• 한국도로학회논문집
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• 제11권3호
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• pp.121-128
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• 2009

본 연구는 기존 정주기식 신호제어로 인하여 비효율적으로 운영되고 있는 3지 교차로의 문제점을 보완하는 방안으로써 반감응 신호제어를 기본으로 하고 보행자작동신호기를 사용하는 신호운영방식의 효율성을 분석하였다. 반감응 신호제어의 경우 부도로에 교통량이 적을 때 주도로의 교통소통을 원활히 하여 교차로 내 지체를 감소시킬 수 있으며, 보행자작동신호기는 보행자가 없음에도 불구하고 보행자 신호를 작동시켜 발생하는 불필요한 대기시간을 줄일 수 있는 장점을 가지고 있다. 위의 두 가지의 장점을 모았을 경우 기존의 정주기식 신호제어와 반감응식 신호제어에 비하여 얼마나 효과가 있는지 미시적 시뮬레이션 프로그램인 VISSIM을 사용하여 정량화된 차량당 평균지체 감소의 정도를 분석하고자 하였다. 본 연구는 인천의 1개 3지 교차로를 대상으로 현장조사를 실시하였고 각각의 신호제어 방식에 따라서 보행자 교통량을 변화시켜 민감도 분석을 실시하였다. 시나리오 별 분석을 통하여 차량당 평균지체시간을 비교한 결과, 대상교차로는 정주기식 신호제어에 비하여 보행자작동신호기를 이용한 신호제어방식이 최소 3.7초(10%), 최대 6초(16%)의 감소효과를 나타내었으며 반감응식 신호제어와의 비교에서는 보행자교통량이 측정교통량의 20% 이하일때보다 효율적인 것으로 나타났다.

• 한국자동차공학회논문집
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• 제20권4호
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• pp.82-91
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• 2012

This paper deals with the development and feasible study of the train to pedestrian protection airbag. The concept of the airbag system is to protect the pedestrian like as workers on railroad. The airbag system includes cushions, gas generators, a housing, sliding fixture, anti-bouncing airbag, and a leg protection bumper. Those things were designed and fabricated. The performance of the airbag system was evaluated in the sense of the static deployment test, drop test, dynamic motion test and field(train level) test. The deployment logic, TTF(Time to fire), and the inner pressure of the cushion were also investigated for the airbag.

• 한국콘텐츠학회논문지
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• 제15권12호
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• pp.370-377
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• 2015

본 연구는 282명의 노인을 대상으로 근육뼈대계 통증이 횡단보도 보행에 미치는 영향을 알아보고자 실시되었다. 연구방법은 근골격계 증상 조사표를 이용하여 노인의 근육뼈대계 통증을 조사한 후 4, 6차선 횡단보도를 보행하도록 하여 보행속도, 보행시간, 걸음수를 측정하였다. 연구결과 신체부위별 근육뼈대계 통증은 허리통증의 호소율이 가장 높았고(33.3%), 허리와 다리/발에 근육뼈대계 통증이 있을 경우 보행속도는 감소하고 걸음수와 보행시간이 증가하는 특징을 보였지만, 지팡이 사용이 횡단보도 보행에 도움을 줄 수 있는 것으로 나타났다. 하지만 허리와 다리/발의 통증정도는 횡단보도 보행특성 사이에 통계적으로 유의한 연관성을 확인할 수 없었다. 이후 지속적인 연구를 통해 노인의 다양한 신체적 문제들과 횡단보도 보행에 관한 연구들이 이루어지길 바란다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2007년도 춘계학술대회 논문집
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• pp.133-134
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• 2007

• 제어로봇시스템학회논문지
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• 제17권5호
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• pp.490-498
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• 2011

In this paper, we present a two-stage vision-based approach to detect multi views of pedestrian in road scene images. The first stage is HG (Hypothesis Generation), in which potential pedestrian are hypothesized. During the hypothesis generation step, we use a vertical, horizontal edge map, and different colors between road background and pedestrian's clothes to determine the leg position of pedestrian, then a novel symmetry peaks processing is performed to define how many pedestrians is covered in one potential candidate region. Finally, the real candidate region where pedestrian exists will be constructed. The second stage is HV (Hypothesis Verification). In this stage, all hypotheses are verified by Support Vector Machine for classification, which is robust for multi views of pedestrian detection and recognition problems.