• 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 rehabilitation welfare engineering & assistive technology
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• v.11 no.1
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• pp.81-89
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• 2017

In this paper, we propose a gait pattern recognition method for intelligent prosthesis that enables walking in various environments of femoral amputees. The proposed gait mode changing method is a single sensor based algorithm which can discriminate gait surface and gait phase using only strain gauges sensor, and it is designed to simplify the algorithm based on multiple sensors of existing intelligent prosthesis and to reduce cost of prosthesis system. For the recognition algorithm, we analyzed characteristics of the ground reaction force generated during gait of normal person and defined gait step segmentation and gait detection condition, A gait analyzer was constructed for the gait experiment in the environment similar to the femoral amputee. The validity of the paper was verified through the defined detection conditions and fabricated instruments. The accuracy of the algorithm based on the single sensor was 95%. Based on the proposed single sensor-based algorithm, it is considered that the intelligent prosthesis system can be made inexpensive, and the user can directly grasp the state of the walking surface and shift the walking mode. It is confirmed that it is possible to change the automatic walking mode to switch the walking mode that is suitable for the walking mode.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.185-194
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• 2014

This study investigates the methodology to evaluate the quantified performance of pavement markings and traffic guide signs using digital images. This methodology is significant to attempt to quantify their performance without large brightness photometer at the nighttime and bad weather. The retroreflective performance of pavement markings are evaluated through the contrast of gray levels of pavements and markings in collected digital images under the case of rain, dampness, and dryness. In addition, the appraisal of retroreflective performance of traffic guide signs are implemented through the comparison between interior illuminated and the existing retroreflective traffic guide signs using the contrast of luminance extracted from the value of RGB of backgrounds and legends in collected digital images according to geometric design, driving lanes, and the distance between the car and the sign. As a result, the retroreflective performance of pavement markings deteriorates about 3.5 times and 2 times under the case of rain and dampness respectively than dryness. Also, the performance of the existing traffic guide signs is significantly influenced by geometric design, driving lanes, and the distance, otherwise interior illuminated traffic guide signs. This methodology can be utilized to construct objective information of performance of traffic safety facilities to select appropriate position of expensive high reflective pavement markings and interior illuminated traffic guide signs considering diverse weather and geometric design.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.4
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• pp.685-694
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• 2016

Visibility of lane marking is impaired at night, or in case of rain, and thereby threatens traffic safety. Recently, various studies and technology have been developed to improve lane marking visibility, such as the extension of lane marking life expectancy (up to 1.5 times), improvement of lane marking equipment, improvement of lane marking visibility (32.7%) by applying phosphorescent material mixed paint, and expressway lane design standards alternative (length 6m, gap 12m, width 13cm: 27.8% of painted surface are reduced) adoption with ergonomic analysis. In this study, a set of cost-benefit analyses was performed for the cases where such techniques were applied. Based on the literature review, 26.9% of traffic accidents would be prevented by improving lane marking visibility by 32.7%; accident reduction benefit was calculated as much as 12.5 billion KRW. Meanwhile, total increased cost when introducing phosphorescent material mixed paint and lane design standards alternative is calculated as 30.6 billion KRW. However, economic feasibility could not be secured with 0.41 of cost-benefit ratio when applied to the expressway network as a whole. Additionally, cost-benefit (B/C) analysis was applied to each of the top 20 night accident hot spots and the results of B/C ratios were between 0.67 and 4.20, showing that 11 out of 20 spot sections of expressway can have economic feasibility. This results indicate, with this kind of pavement marking applied to accident hot spots in rural expressway, better visibility and economic feasibility can be guaranteed through traffic accident reduction. Some limitations and future research agenda have also been discussed.

• International Journal of Highway Engineering
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• v.11 no.1
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• pp.177-186
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• 2009

Rumble strip was introduced in highway pavement for driver's safety in Korea on 2000. With proving its effectiveness, total length of highway with rumble strip has increased. This research team suggested a modified form of the existing rumble strip, which was placed on new concrete pavement during construction. The modified construction equipment was applied on test section at PyungTeak-Eumsung highway with some performance experiments. Through the equation of stopping sight distance proposed AASHTO, the modified form is safer than the existing one due to 0.65m of extra width. The indoor noise test showed that the modified form $3.5{\sim}9dB(A)$ noisier than the main pavement, which wasn't applied by rumble method. Therefore, it was one of alternatives to prevent sleeping. The modified form made the frequency effected on man's eye. There were no differences of the noise and vibration between modified form and existing one. However, that driver who participated on operating test on that section felt that the former was safer than the latter. It can be concluded that modified form can be applied to the new concrete pavement, that will decrease traffic accident.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.242-242
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• 2020

도시화와 산업화에 따른 유출환경의 변화로 인해 도심지에서 발생하는 대부분의 유출은 도로표면을 따라 이동하고 도로변에 설치된 빗물받이에 의해 배수된다. 이 때 빗물이 원활하게 배수되지 않아 노면수가 정체되고, 이 노면수가 인근 주택지로 유입되어 침수 피해가 발생한다. 이러한 현상은 유출량이 집중되는 도심지 저지대에서 주로 발생하며 설계 한도를 초과하지 않는 정상적인 강우 조건에서도 빈번히 나타나고 있다. 이는 최근의 기후 변화로 인한 집중 호우 등을 고려하여 설계 기준이 지속적으로 조정되어야 함과 동시에 도로 노면수의 배수 능력 평가를 위한 실제적인 연구가 이루어져야 한다는 필요성을 나타내고 있다. 특히 도로 빗물받이의 효율은 주로 종경사 및 횡경사 등의 도로 조건, 표면 유출 우수량, 빗물받이의 형상 등에 의존한다. 그러므로 상향된 설계빈도 및 도로 조건을 고려한 도로 표면 유출에 대한 흐름 분석과 빗물받이 특성을 고려한 실증연구의 분석 및 설계 해석 알고리즘의 개발이 시급한 실정이다. 본 연구에서는 도로 노면수의 배수 능력 증대를 위해 연속 설치된 빗물받이 조건 및 도로 경사조건을 고려하여 도로 배수시설의 표면 유출 모델 설계 알고리즘을 개발하였다. 표면 유출 유량은 도로의 차선(2~4차선), 경사(종경사 2~10% 및 횡경사 2~10%) 및 설계빈도(최대 30년)를 고려하였으며 유량이 노면 진행방향을 따라 연속적으로 증가하는 부등류 흐름 해석 방법을 채택하였다. 또한, 빗물받이 설치간격(L)과 도로의 폭(W)의 곱으로 계산되는 단순 직사각형 형태의 노면 형상이 아닌 도로 종경사 및 횡경사에 따른 유달거리를 산정하여 평행사변형 형태의 노면 형상을 계산하고 이에 따른 면적(A), 도달시간(tc) 및 강우강도(I)를 산정하였다. 이와 같은 1차원 흐름분석을 통해 도로 표면흐름 및 빗물받이 설치 간격을 제시하고 기존의 제시된 빗물받이 설치 간격과 비교하여 본 연구에서 제시한 설계 알고리즘을 검증하였다. 또한, 수리 실험을 통해 측정된 빗물받이 차집효율을 이용하여 연속 구간에서의 도로 표면 유출 모델의 적용성을 제시하였다. 이는 빗물받이 유입구를 통해 모든 유량이 유출된다고 가정하고 단독 구간에서의 수리분석 결과만을 고려하여 이를 확장시켜 개발된 기존의 도로 표면 유출 모델을 보완할 수 있을 것으로 기대된다. 본 연구에서 제시하고 있는 설계 알고리즘을 적용한다면 도로 전체 구간에서의 흐름 변화 분석과 배수효율의 정량적인 분석이 가능하므로 향후 도로 표면 침수 피해 저감 및 배수능력 증대를 위한 실증적이고 정량적인 분석 방법이 될 것으로 판단된다.

• Journal of Korean Society for Geospatial Information Science
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• v.10 no.4 s.22
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• pp.77-84
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• 2002

Recently, damage of pavement represented by crack is depened by the increase of traffic demand up to ten million and wight, and interest about the efficient management of pavement is being increased gradually according to the growth of maintenance expense of road surface. In this study, the possibility of application for acquisition of crack information was tested by appling DCRP and digital image processing technique and measuring crack on road surface precisely. Based on this, objective and efficient road surface measurement was planned and done. Measuring crack width, acquire result of comparative high accuracy. So, it is considered that it can be utilized as plan draft data for deterioration estimation and repair reinforcement work of pavement.

• Journal of the Korean Society of Propulsion Engineers
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• v.14 no.2
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• pp.39-45
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• 2010

In the recent years, it is important to evaluate the durability and the reliability of the vehicle, aircraft, and structure. Especially, in case of the vehicle, the durability and reliability are tested by driving test after making prototype vehicles. However, these methods require many costs and efforts for the experiment are needed to react the defects of product. This problems can be settled by simulator which supplies the realistic environments. In this parer, four-axial road simulator with hydraulic power and driving program to operate are made up. The displacement road profile is realized by accelerometers. For the verification the real-vehicle experiment is executed and road profile obtained from the experiment is verified by four-axial road simulator.

• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.5
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• pp.113-121
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• 2013

The road icing forecast and snow detection system using state evaluation algorithm of multi sensor optimizes snow melting system to control spread time and amount of chemical spread application This system operates integrated of contact/non-contact sensor and infrared camera. The state evaluation algorithm of the system evaluates road freezing danger condition and snowfall condition (snowfall intensity also) using acquired data such as temperature/humidity, moisture detection and result of image signal processing from field video footage. In the field experiment, it proved excellent and reliable evaluated result of snowfall state detection rate of 89% and wet state detection rate of 94%.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.4
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• pp.201-208
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• 2015

This paper proposes a method for detecting the direction indicator shown in the road surface efficiently from the black box system installed on the vehicle. In the proposed method, the direction indicators are detected by inverse perspective mapping(IPM) and bag of visual features(BOF)-based NN classifier. In order to apply the proposed method to real-time environments, the candidated regions of direction indicator in an image only performs IPM, and BOF-based NN is used for the classification of feature information from direction indicators. The results of applying the proposed method to the road surface direction indicators detection and recognition, the detection accuracy was presented at least about 89%, and the method presents a relatively high detection rate in the various road conditions. Thus it can be seen that the proposed method is applied to safe driving support systems available.