• Title/Summary/Keyword: 기준지도

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Automatic Drawing and Structural Editing of Road Lane Markings for High-Definition Road Maps (정밀도로지도 제작을 위한 도로 노면선 표시의 자동 도화 및 구조화)

  • Choi, In Ha;Kim, Eui Myoung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.363-369
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    • 2021
  • High-definition road maps are used as the basic infrastructure for autonomous vehicles, so the latest road information must be quickly reflected. However, the current drawing and structural editing process of high-definition road maps are manually performed. In addition, it takes the longest time to generate road lanes, which are the main construction targets. In this study, the point cloud of the road lane markings, in which color types(white, blue, and yellow) were predicted through the PointNet model pre-trained in previous studies, were used as input data. Based on the point cloud, this study proposed a methodology for automatically drawing and structural editing of the layer of road lane markings. To verify the usability of the 3D vector data constructed through the proposed methodology, the accuracy was analyzed according to the quality inspection criteria of high-definition road maps. In the positional accuracy test of the vector data, the RMSE (Root Mean Square Error) for horizontal and vertical errors were within 0.1m to verify suitability. In the structural editing accuracy test of the vector data, the structural editing accuracy of the road lane markings type and kind were 88.235%, respectively, and the usability was verified. Therefore, it was found that the methodology proposed in this study can efficiently construct vector data of road lanes for high-definition road maps.

Flood Risk Mapping with FLUMEN model Application (FLUMEN 모형을 적용한 홍수위험지도의 작성)

  • Cho, Wan Hee;Han, Kun Yeun;Ahn, Ki Hong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.2B
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    • pp.169-177
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    • 2010
  • Recently due to the typhoon and extreme rainfall induced by abnormal weather and climate change, the probability of severe damage to human life and property is rapidly increasing. Thus it is necessary to create adequate and reliable flood risk map in preparation for those natural disasters. The study area is Seo-gu in Daegu which is located near Geumho river, one of the tributaries of Nakdong river. Inundation depth and velocity at each time were calculated by applying FLUMEN model to the target area of interest, Seo-gu in Daegu. And the research of creating flood risk map was conducted according to the Downstream Hazard Classification Guidelines of USBR. The 2-dimensional inundation analysis for channels and protected lowland with FLUMEN model was carried out with the basic assumption that there's no levee failure against 100 year precipatation and inflow comes only through the overflowing to the protected lowland. The occurrence of overflowing was identified at the levee of Bisan-dong located in Geumho watershed. The level of risk was displayed for house/building residents, drivers and pedestrians using information about depth and velocity of each node computed from the inundation analysis. Once inundation depth map and flood risk map for each region is created with this research method, emergency action guidelines for residents can be systemized and it would be very useful in establishing specified emergency evacuation plans in case of levee failure and overflowing resulting from a flood.

Current Status and Challenges of Career Education & Guidance Teacher System in Korea (진로 진학 상담 교사 제도의 현황과 과제)

  • Yoon Ok Han
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.149-158
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    • 2023
  • The purpose of this study is to examine the current status of the career guidance counselor system and to explore the challenges of the career guidance counselor system in the future. The results of the study are as follows: First, in the case of the career counseling teacher system, ① The qualifications for career counseling teachers are through regular education and training according to the law. ② After acquiring the qualifications for career advancement counseling, receiving an appointment to become a subject teacher for 'career advancement counseling' is subject to another selection criteria. ③ At least one career counseling teacher must be assigned to each school. ④ The common job of secondary career counseling teachers suggested by the Seoul Metropolitan Office of Education consists of 15 items, focusing on the task of overseeing school career education as the head of the career counseling department. are presenting ⑤ The Ministry of Education is using a career guidance model as a guideline for career guidance to be referenced when providing career guidance in secondary schools. Second, the task of the career counseling teacher system is to examine the theoretical basis of the career guidance model presented in the ① Career Guidance Guidelines. ② It is necessary to transform former teachers into career teachers. ③ It is necessary to expand the number of career guidance counselors currently assigned to middle and high schools. ④ It is necessary to expand subject-integrated career education.

Object Position Tracking Algorithm of Intelligent Robot using Sound Source and Absolute Orientation (음원과 절대 방위를 이용한 지능형 로봇의 목표물 위치 추적 알고리즘)

  • Park, Kyoung-Jin;Lee, Hae-Gang;Jang, In-Hun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.2
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    • pp.208-213
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    • 2007
  • As recent research on home service robot has been performed actively in these days. It becomes very important for the robot to react upon voice and sound source, and then tracks an object position in dynamic environment like a home. When people choose a path for finding a destination of objects, in case of sound, they track a direction of the sound source. Or in case as a position of the object be girded with a point on map, people track the position according to absolute orientation of the present position and the sound source position. In this paper, In this manner we had views on what people decide own direction when they react one's voice or go some directions. We suggest a algorithm that intelligent mobile robots on which we installed a sound source tracking board and a digital magnetic compass board go some object's positions by the direction of sound source and absolute orientation.

A Study of Three Dimensional DSM Development using Self-Developed Drone (드론을 활용한 3차원 DSM추출을 위한 연구)

  • Lee, Byung-Gul
    • Journal of the Korean earth science society
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    • v.39 no.1
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    • pp.46-52
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    • 2018
  • This paper is to study the development of three dimensional Digital Surface Model (DSM) using photogrammetry technique based on self-developed Drone (Unmanned Aerial Vehicle (UAV)). To develop DSM, we selected a study area in Jeju island and took 24 pictures from the drone. The three dimensional coordinates of the photos were made by Differential Global Positioning System (DGPS) surveying with 10 ground control points (GCP). From the calculated three dimensional coordinates, we produced orthographic image and DSM. The accuracy of DSM was calculated using three GCPs. The average accuracy of X and Y was from 8.8 to 14.7 cm, and the accuracy of Z was 0.8 to 12.4 cm. The accuracy was less than the reference accuracy of 1/1,000 digital map provided by National Geographic Information Institute (NGII). From the results, we found that the self-developed drone and the photogrammetry technique are a useful tool to make DSM and digital map of Jeju.

A Study on Statistical Feature Selection with Supervised Learning for Word Sense Disambiguation (단어 중의성 해소를 위한 지도학습 방법의 통계적 자질선정에 관한 연구)

  • Lee, Yong-Gu
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.22 no.2
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    • pp.5-25
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    • 2011
  • This study aims to identify the most effective statistical feature selecting method and context window size for word sense disambiguation using supervised methods. In this study, features were selected by four different methods: information gain, document frequency, chi-square, and relevancy. The result of weight comparison showed that identifying the most appropriate features could improve word sense disambiguation performance. Information gain was the highest. SVM classifier was not affected by feature selection and showed better performance in a larger feature set and context size. Naive Bayes classifier was the best performance on 10 percent of feature set size. kNN classifier on under 10 percent of feature set size. When feature selection methods are applied to word sense disambiguation, combinations of a small set of features and larger context window size, or a large set of features and small context windows size can make best performance improvements.

Surface Reconstruction Using CORONA KH-4 Imagery (CORONA KH-4 영상을 이용한 3차원 지형정보 취득)

  • Sohn, Hong-Gyoo;Yeu, Bock-Mo;Kim, Gi-Hong;Choi, Jong-Hyun
    • 한국지형공간정보학회:학술대회논문집
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    • 2002.03a
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    • pp.145-149
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    • 2002
  • CORONA는 미국이 1960년에서 1972년까지 냉전시대 관심지역에 대한 첩보영상을 취득하기 위하여 운영한 영상취득시스템으로 1995년 일반에 자료가 공개됨에 따라 과거의 고해상도 영상자료를 이용할 수 있는 길이 열리게 되었다. 그러나 현재까지 CORONA 영상처리를 위한 모듈을 제공하는 원격탐측 소프트웨어가 개발되어 있지 않기 때문에 CORONA 영상을 이용하여 수치표고모형이나 정사영상을 제작하기 위해서는 적절한 모델링 방법이 필요하다. CORONA 영상은 파노라마 영상으로 필름 가장자리로 갈수록 왜곡이 많이 생기며 사진기 지표가 없고 위성의 궤도와 위치, 자세, 속도, IMC(Image Motion Compensation)에 대한 자세한 자료를 제공하지 않는 문제점이 있다. 따라서 본 논문에서는 지형복원을 위하여 지상기준점을 이용하는 2가지 모델링 방법을 이용하였다. 첫 번째는 파노라마 왜곡과 촬영 비행체 이동에 의한 왜곡, IMC에 의한 왜곡을 보정하는 모형식을 구성하여 이용하였으며, 두 번째는 위성과 센서에 대한 정보를 필요로 하지 않는 다항식비례모형(RFM; Rational Function Model)을 이용하였다. 대상지역은 서울지역의 입체영상으로 대략 $33km{\times}26km$ 지역이다. 영상은 지상해상도 약 2.7m로 스캐닝하였고 1:1000 수치지도를 통해 20개의 기준점과 36개의 검사점을 관측하였다. 검사점의 위치정확도를 평가해 본 결과 첫 번째 방법은 수평방향으로 평균 3.9m(X), 2.8m(Y)의 오차를 보였으며 표고의 경우 4.2m의 오차를 보여주었다. 두 번째 방법은 수평방향으로 평균 3.2m(X), 2.8m(Y)의 오차를 보였으며 표고의 경우 5.5m의 오차를 보여주었다. 지형복원 정확도를 검증하기 위하여 첫 번째 방법을 이용하여 대상지역 중 일부인 서울 남산지역에 대해 정사영상과 10m간격의 DEM을 제작하였으며 1:1000 수치지도를 통해 제작된 DEM과 비교한 결과 총 43990개 격자점의 표고 차이는 평균 5.98m였다.

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A Study on Development of Personalized Learning Materials for Underachievers in Elementary Mathematics (초등 수학 학습 부진아 지도를 위한 맞춤형 학습 자료 개발 연구)

  • Choe, Seung-Hyun;Cho, Seong-Min;Ryu, Hyun-Ah
    • Education of Primary School Mathematics
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    • v.15 no.2
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    • pp.135-145
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    • 2012
  • In this research, we observed how students perform as they followed the teachers' instruction, and consequently perform their realized potential. As the accountability of school education is emphasized, various attempts try to disconnect the vicious cycle of producing low achievers. Efforts are allocated into developing a method to minimize cumulative effect of the lag in educational benefit by focusing on the elementary education. Based on the 2007 revised curriculum, mathematics achievement level and assessment criteria were developed. These criteria were used to standardize the course and assessment objectives for 4th through 6th grade students' mathematics studies, and to assess lower performing students and the lag in their mathematical understanding. The educational materials and assessment criteria can be expected to lead lower performing students by giving them the personalized lesson plans to minimize the lag of mathematical understanding, and eventually expedite their progress and prevent cumulative effect of the lag in the following curriculum.

Accuracy Assessment of 3D Geo-positioning for SPOT-5 HRG Stereo Images Using Orbit-Attitude Model (궤도기반 모델을 이용한 SPOT-5 HGR 입체영상의 3차원 위치결정 정확도 평가)

  • Wie, Gwang-Jae;Kim, Deok-In;Lee, Ha-Joon;Jang, Yong-Ho
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.5
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    • pp.529-534
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    • 2009
  • In this study, we investigate the feasibility of modeling entire image strips that has been acquired from the same orbital segments. We tested sensor models based on satellite orbit and attitude with different sets(Type1 ~ Type4) of unknowns. We checked the accuracy of orbit modeling by establishing sensor models of one scene using control points extracted from the scene and by applying the models to adjacent scenes within the same orbital segments. Results indicated that modeling of individual scenes with 1st or 2nd order unknowns was recommended. We tested the accuracy of around control points, digital map using the HIST-DPW (Hanjin Information Systems & Telecommunication Digital Photogrammetric Workstation) As a result, we showed that the orbit-based sensor model is a suitable sensor model for making 1/25,000 digital map.

Accuracy Assessment of 3D Geopositioning of KOMPSAT-2 Images Using Orbit-Attitude Model (KOMPSAT-2 영상의 정밀궤도기반모델을 이용한 3차원 위치결정 정확도 평가)

  • Lee, Sang-Jin;Kim, Jung-Uk;Choi, Yun-Soo;Jung, Seung-Kyoon
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.4
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    • pp.3-10
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    • 2010
  • In this study, the orbit-based sensor modeling is applied to the digital plotting and the accuracy of digital plotting is analyzed. The KOMPSAT-2 satellite image with orbit-attitude model is used for the analysis. The precise sensor modeling with various combination of parameters is performed for the stereo satellite image. In addition, we analyze the error range of ground control points by applying the result of stereo modeling to digital survey system. According to the result, it is possible to produce digital map using stereo image with a small number of GCPs when the orbit-based sensor modeling for KOMPSAT-2 is applied. This means that it is suitable for the generation of digital map on a scale of 1/5,000 to 1/25,000 considering the resolution of KOMPSAT-2 image.