• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.3
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• pp.99-106
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• 2019

Technology that cannot be excluded from 4th industry is self-driving sector. The self-driving sector can be seen as a key set of technologies in the fourth industry, especially in the DB sector is getting more and more popular as a business. The DB, which was previously produced and managed in two dimensions, is now evolving into three dimensions. Among the data obtained by Mobile Mapping System () to produce the HD MAP necessary for self-driving, Point Cloud, which is LiDAR data, is used as a DB because it contains accurate location information. However, at present, it is not widely used as a base data for 3D modeling in addition to HD MAP production. In this study, MMS Point Cloud was used to extract facilities around the road and to overlay the location to expand the usability of Point Cloud. Building utility poles and communication poles DB from Point Cloud and comparing road name address base and location, it is believed that the accuracy of the location of the facility DB extracted from Point Cloud is also higher than the basic road name address of the road, It is necessary to study the expansion of the facility field sufficiently.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.4
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• pp.383-390
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• 2020

Car-mounted MMS (Mobile Mapping System) is the most effective tool for mapping of high definition road maps(HD Map). The MMS is composed of various sensor combinations, and the manufacturing methods and processing software are different for each manufacturer, performance cannot be predicted only by the specifications of the parts. Therefore, it is necessary to judge whether each equipment is suitable for mapping through performance evaluation, and facilities for periodic performance evaluation. In this paper, we explained the MMS performance evaluation facilities built at the SOC Evaluation Research Center of Korea Institute of Civil Engineering and Building Technology and analyzed the conditions that the evaluation facilities should have through a literature survey and field tests.

• Journal of the Korean Society for Precision Engineering
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• v.25 no.2
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• pp.131-139
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• 2008

This paper presents a new saliency map which is constructed by providing dynamic weights on individual features in an input image to search ROI(Region Of Interest) or FOA(Focus Of Attention). To construct a saliency map on there is no a priori information, three feature-maps are constructed first which emphasize orientation, color, and intensity of individual pixels, respectively. From feature-maps, conspicuity maps are generated by using the It's algorithm and their information quantities are measured in terms of entropy. Final saliency map is constructed by summing the conspicuity maps weighted with their individual entropies. The prominency of the proposed algorithm has been proved by showing that the ROIs detected by the proposed algorithm in ten different images are similar with those selected by one-hundred person's naked eyes.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.11a
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• pp.666-669
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• 2000

Localization is the process of aligning the robot's local coordinates with the global coordinates of a map. A mobile robot's location is basically computed by a dead reckoning scheme, but this position information becomes increasingly inaccurate during navigation due to odometry errors. In this paper, the method of building a map of a robot's environment using ultrasonic sensor data and the occupancy grid map scheme is briefly presented. Then, the search and matching algorithms to compensate for the odometry error by comparing the local map with the reference map are proposed and verified by experiments. It is shown that the compensated error is not accumulated and exists within the limited range.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.604-607
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• 2003

지리정보시스템(GIS)의 사용이 여러 분야에서 점차 확대됨에 따라 단순한 2차원적인 평면 공간상의 수치정보의 제공에서 벗어나 보다 실제적이고 현실감 있는 정보를 제공해 줄 수 있는 지도모델에 대한 요구가 점점 높아져가고 있다. 이에 2차원 지리정보시스템(2D GIS)의 데이터 정보 표현 한계를 극복할 수 있는 대안으로 떠오르고 있는 모델이 3차원 수치지도 정보를 가진 3차원 지리정보시스템(3D GIS)이다. 3차원 수치지도는 2차원 수치지도가 가지는 정보 표현 한계를 벗어나 보다 높은 가독성과 함께 표현한 수 있는 정보량이 높고 다양해 여러 분야로 활용 방안이 가능하다. 따라서 3차원 지리정보시스템에 대한 공간자료(Spatial Data)의 오차한계 극복과, 정밀한 3차원 데이터를 효율성 있게 구축하기 위한 3차원 수치지도의 모델이 요구된다. 본 연구는 부산광역시 해운대구 전 지역을 대상으로 한 3차원 수치지도 측량 및 제작, 이의 활용방안에 대한 연구를 목적으로 진행한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.29-40
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• 2024

Recently, the technology of autonomous driving, one of the core of the fourth industrial revolution, is developing, but sensor-based autonomous driving is showing limitations, such as accidents in unexpected situations, To compensate for this, HD-map is being used as a core infrastructure for autonomous driving, and interest in the public and private sectors is increasing, and various studies and technology developments are being conducted to secure the latest and accuracy of HD-map. Currently, NGII will be newly built in urban areas and major roads across the country, including the metropolitan area, where self-driving cars are expected to run, and is working to minimize data error rates through quality verification. Therefore, this study analyzes the spatial relationship of reference objects in the attribute structuring process for rapid and accurate renewal and production of HD-map under construction by NGII, By applying the attribute input automation methodology of the reference object in which spatial relations are established using the library of open source-based PyQGIS, target sites were selected for each road type, such as high-speed national highways, general national highways, and C-ITS demonstration sections. Using the attribute automation tool developed in this study, it took about 2 to 5 minutes for each target location to automatically input the attributes of the spatial relationship reference object, As a result of automation of attribute input for reference objects, attribute input accuracy of 86.4% for high-speed national highways, 79.7% for general national highways, 82.4% for C-ITS, and 82.8% on average were secured.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.789-792
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• 2010

최근 다양하게 활용되고 있는 수치지도 기반의 지도 영상은 그 신속성과 정확성이 가장 중요시되고 있다. 특히, 공군에서 사용하고 있는 지도영상 자료 활용 시스템인 비행 임무 계획 시스템의 상황도 시현 시, 대용량 래스터 데이터(Raster Data)를 처리해야 하는데, 지도의 종류가 다양해지고, 정밀해질수록 시스템의 효율적인 구동에 한계가 발생되고 있는 현실이며, 처리하는 영상의 호환성 및 왜곡현상의 문제점도 함께 야기되고 있다. 이에 본 연구에서는 ARC System 및 RPF Naming Rule을 적용하여 대용량 래스터 데이터 처리과정을 개선하고, 호환성을 보장하며, 왜곡현상을 줄이는 효율적인 지도 영상 처리방안을 제안한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.277-278
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• 2012

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.79-80
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• 2010

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.10a
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• pp.337-338
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• 2009