• 한국지리정보학회지
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• 제21권1호
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• pp.1-11
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• 2018

MMS(Mobile Mapping System) 자료를 이용한 정밀 공간 정보 매핑은 고정밀 3차원 지형 모델 구축, 시설물 관리를 위해 중요하며, 특히 도로 중앙선 매핑 작업은 정밀 도로 지도 구축을 위해 필요하다. 본 연구에서는 MMS LiDAR(Light Detection And Ranging) 자료를 이용하여 정밀 공간 정보인 도로 중앙선을 매핑 하는 반자동화 방법을 개발하였다. 우선 주어진 MMS LiDAR 자료를 기반으로 보간법을 이용하여 반사강도 영상을 제작하고, 에지 검출기를 이용하여 반사강도 영상으로부터 선형 세그먼트들을 추출하였다. 최종적으로 추출된 선형 세그먼트들 중에서 도로 중앙선 세그먼트를 수동으로 선택하였다. 추출된 도로 중앙선의 정확도 검증 결과, 0.065m의 정확도를 보여주었으며, 도로 중앙선이 도로 신호와 인접한 일부 지역에서 에러가 발견되었다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2003년도 춘계학술발표회 논문집
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• pp.145-150
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• 2003

Mobile mapping system is a surveying system that use vehicle carrying various sensors as CCD camera, GPS and IMU(Inertial measurement Unit). This system capturing images of forward direction continuously while running road. Use these images, then acquire road and road facilities information as facilities position, size or maintenance condition. In this study, we organized data and each data processing steps that are needed for 3 dimensional positioning. And develop digital photogrammetry S/W easy to use and accurate for mobile mapping system.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.221-224
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• 2007

MMS(Mobile Mapping System) generates a efficient image data for mapping and facility management. However, this image data of MMS has many difficulties in a practical use because of huge data volume. Therefore the important information likes road sign post must be extracted from huge MMS image data. In Korea, there is the HMS(Highway Management System) to manage a national road that acquire the line and condition of road from the MMS images. In the HMS each road sign information is manually inputted by the keyboard from moving MMS. This manually passive input way generate the error like inaccurate position, mistaking input in this research we developed the automatic road sign identifying technique using the image processing and the direct geo-referencing by GPS/INS data. This development brings not only good flexibility for field operations, also efficient data processing in HMS.

• 농업과학연구
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• 제47권4호
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• pp.727-742
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• 2020

Point cloud-based 3D maps can obtain many kinds of information for maintenance work on forest road networks. This study was conducted to compare the importance of each factor to select the factors required for the mapping of 3D forest road maps. This can be used as basic data for attribute information required to maintain forest road networks. The results of this study found that out of a total of 30 indexes extracted for mapping 3D forest roads, a total of 21 indexes related to stakeholder groups were significantly different. The importance of the index required by the civil service group was significantly higher than that of the other groups overall. In the case of the academic group, the index importance for cut slope, fill slope, and drainage facility was significantly higher. On the other hand, the index importance for the forestry cooperative and forest professional engineer group was mostly distributed between the civil servants' group and the academic group. In particular, the type of drainage system showed the highest value among the detailed indexes. Overall, drainage related factors in this survey had high coefficient values. The impact of water on forest roads was the most important part in road maintenance. In addition, the soil texture had a high value in relation to slope stability. This is thought to be because the texture of the soil affects the stability of the slope.

• 한국도로학회논문집
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• 제18권4호
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• pp.1-8
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• 2016

PURPOSES : This study evaluates the reliability of the patterns of changes in the road surface temperature during winter using a statistical technique. In addition, a flexible road segmentation method is developed based on the collected road surface temperature data. METHODS : To collect and analyze the data, a thermal mapping system that could be attached to a survey vehicle along with various other sensors was employed. We first selected the test route based on the date and the weather and topographical conditions, since these factors affect the patterns of changes in the road surface temperature. Each route was surveyed a total of 10 times on a round-trip basis at the same times (5 AM to 6 AM). A correlation analysis was performed to identify whether the weather conditions reported for the survey dates were consistent with the actual conditions. In addition, we developed a method for dividing the road into sections based on the consecutive changes in the road surface temperature for use in future applications. Specifically, in this method, the road surface temperature data collected using the thermal mapping system was compared continuously with the average values for the various road sections, and the road was divided into sections based on the temperature. RESULTS : The results showed that the comparison of the reported and actual weather conditions and the standard deviation in the observed road surface temperatures could produce a good indicator of the reliability of the patterns of the changes in the road surface temperature. CONCLUSIONS : This research shows how road surface temperature data can be evaluated using a statistical technique. It also confirms that roads should be segmented based on the changes in the temperature and not using a uniform segmentation method.

• 대한공간정보학회지
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• 제19권3호
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• pp.91-98
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• 2011

도로표지는 운전자에게 안전하고 편안하게 목적지까지 안내를 목적으로 하는 교통시설이다. 도로표지는 신규노선이나 노선의 변경 그리고 도로표지의 노후화 등에 의해 지속적으로 현지조사와 이를 데이터베이스화하는 노력이 필요하다. 본 연구에서는 이러한 도로표지의 현지조사와 데이터베이스 구축을 효율적으로 수행할 수 있는 방안을 제시하는 것을 목적으로 하였다. 이를 위해 현지조사를 위한 모바일 매핑시스템을 설계하였다. 설계된 모바일매핑 시스템은 도로표지 영상정보를 획득할 수 있는 3대의 카메라, 차량의 위치와 자세를 알 수 있는 GPS/IMU/DMI, 그리고 도로표지 지점위치와 노선정보를 획득할 수 있는 레이저스캐너로 구성하였다. 또한 도로표지 영상에서 자동으로 도로표지 영역을 검출하고 이로부터 문자인식을 수행하는 절차를 제시하였다.

• 한국측량학회지
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• 제40권3호
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• pp.169-175
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• 2022

우리나라 건설 산업은 건설 인력의 부족 및 노령화, 타 산업분야에 비해 낮은 생산성, 높은 산업재해율 등이 있다. 국토교통부에서는 4차 산업혁명을 대비하고, 건설산업의 생산성 향상을 위해 건설자동화, 혁신성장동력을 정하고 이에 대한 투자를 확대하고 있다. 도로건설 분야에서 새로운 기술들이 활용되기 위해서는 기술에 대한 정확도 검증과 공종별 적용성에 대한 평가가 이루어져야 한다. 본 연구에서는 관련 작업규정을 기준으로 모바일맵핑시스템의 정확도를 검증하고, 도로 시공현장에 대한 데이터 취득 및 분석을 통해 도로 시공측량에 대한 모바일맵핑시스템의 적용성을 제시하고자 하였다. 정밀도로지도 제작 작업규정에 따라 연구에 활용한 장비의 정확도를 검증하였으며, 수평 및 수직 방향에 대한 최대 오차가 10cm 이내로 연구에 활용한 모바일맵핑시스템의 도로 시공측량 적용 가능성을 제시하였다. 또한 시공측량을 위한 데이터 취득 시간에 대한 기존 방법과의 비교와 시공측량 성과물 제작과 heatmap 및 토공량 산정을 통해 모바일맵핑시스템을 이용한 도로 시공측량 활용의 가능성을 제시하였다. 향후, 모바일맵핑시스템의 도로 시공측량 활용은 건설공사의 효율성을 크게 향상시킬 수 있을 것이다.

• 한국도로학회논문집
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• 제19권2호
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• pp.35-44
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• 2017

PURPOSES: This study suggests a specific methodology for the prediction of road surface temperature using vehicular ambient temperature sensors. In addition, four kind of models is developed based on machine learning algorithms. METHODS : Thermal Mapping System is employed to collect road surface and vehicular ambient temperature data on the defined survey route in 2015 and 2016 year, respectively. For modelling, all types of collected temperature data should be classified into response and predictor before applying a machine learning tool such as MATLAB. In this study, collected road surface temperature are considered as response while vehicular ambient temperatures defied as predictor. Through data learning using machine learning tool, models were developed and finally compared predicted and actual temperature based on average absolute error. RESULTS : According to comparison results, model enables to estimate actual road surface temperature variation pattern along the roads very well. Model III is slightly better than the rest of models in terms of estimation performance. CONCLUSIONS : When correlation between response and predictor is high, when plenty of historical data exists, and when a lot of predictors are available, estimation performance of would be much better.

• 한국도로학회논문집
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• 제16권5호
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• pp.91-98
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• 2014

PURPOSES : This study is to develop a automate road mapping system using ARASEO(Automated Road Analysis and Safety Evaluation TOol) for road management. METHODS : The road survey van named ARASEO(Automated Road Analysis and Safety Evaluation TOol) was used to generate highway drawings for Korea National Road number 37 automatically. In order to generate the highway drawings for purpose of road management, it is required to acquired the information for highway alignment, road width and road facilities such as safety barrier and road sign. Therefore the survey van acquired and analyzed the road width, median and guardrail data using rear side laser sensor of ARASEO and recognized the traffic control sign and chevron sign using foreside camera images. Also the highway alignment which is the basic information for highway drawing can be analyzed by acquisition the every 1m positional and attitude data using GPU and IMU sensor and developed algorithm. Finally, in this research the CAD based drawing software was developed to draw highway drawing using the analysis result from ARASEO. RESULTS : This study showed the comparison result of the surveyed road width and drawing data. To make the drawing of the road, we made the Autocad ARX program witch run in CAD menu interface. CONCLUSIONS : Using this program we can create the road center line, every 500m horizontal and vertical ground plan drawing automatically.

• 한국측량학회지
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• 제39권2호
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• pp.103-111
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• 2021

MMS (Mobile Mapping System) is being used for HD (High Definition) map construction because it enables fast and accurate data construction, and it is receiving a lot of attention. However, research on the use of MMS in the construction field is insufficient. In this study, road surveying and inspection of construction structures were performed using MMS. Through data acquisition and processing using MMS, point cloud data for the study site was created, and the accuracy was evaluated by comparing with traditional surveying methods. The accuracy analysis results showed a maximum of 0.096m, 0.091m, and 0.093m in the X, Y, and H directions, respectively. Each RMSE was 0.012m, 0.015m, and 0.006m. These result satisfy the accuracy of topographic surveying in the general survey work regulation, indicating that construction surveying using MMS is possible. In addition, a 3D model was created using the design data for the underpass road, and the inspection was performed by comparing it with the MMS data. Through inspection results, deviations in construction can be visually confirmed for the entire underground roadway. The traditional method takes 6 hours for the 4.5km section of the target area, but MMS can significantly shorten the data acquisition time to 0.5 hours. Accurate 3D data is essential data as basic data for future smart construction. With MMS, you can increase the efficiency of construction sites with fast data collection and accuracy.