• 대한치과보철학회:학술대회논문집
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• 2001.11a
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• pp.69-69
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• 2001

• Proceedings of the KIEE Conference
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• 1984.07a
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• pp.302-305
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• 1984

전자계산기 홀로그램을 이용한 Over-filled 주사장치를 구성하고 주사특성을 측정하였다. 그 결과 주사거리는 40cm 정도이고, $100{\mu}m$ 정도의 해상도를 가지며, 회전면의 흔들림에 대해서도 안정함을 보여 주었다.

• Proceedings of the Optical Society of Korea Conference
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• 2006.07a
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• pp.351-353
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• 2006

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.369-370
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• 2011

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.335-336
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• 2011

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.355-361
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• 2018

Mining is important as a national key industry that supplies energy and raw materials that are the basis for industrial development. On the other hand, mine development is necessarily accompanied by mineralization, for example, ground subsidence, heavy metal pollution, and water pollution. The mine hazard has a large range of damage, and it takes much time and cost to recover. In addition, there is a need for systematic mining management in order to prevent damages from occurring continuously. In this study, the present status of domestic mining industry and geospatial information construction technology for mining management were investigated. 95% of the mines surveyed were nonmetallic, and limestone mines accounted for 67%, and the constructed mine spatial information is not constructed with 3D geospatial information due to 2D current status, section, and geological map. Considering the results of the survey and analysis of 3D laser scanner and characteristics of Korean mine, handheld scanner is considered to be the most suitable method for constructing mine geospatial information. In addition, the data acquired through the 3D laser scanner can effectively visualize the object, and it can contribute to the systematic management of mining because it can be used for various purposes such as generation of drawings and calculation of volume.

• Explosives and Blasting
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• v.33 no.4
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• pp.1-6
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• 2015

Abstract This study is to efficiently calculate and evaluate the elements of advance, overbreak and underbreak on the mine under the production using the 3D laser scanner. For this purpose, a 3D laser scanner was sued to acquire the point-cloud which records the space coordinates and modelling of the underground tunnel using the 3D modeling program. When each element was observed through the study result, the advance on the center cut was 2.6m in average while the total advance was 2.4m. If the drilling length of 3.8m is based, the advance rate was evaluated to be 67% in average in the center cut section with the total average of 64%. In addition, when the volume of overbreak was measured based on the design cross section, the average overbreak volume was found to be $4.5m^3$ on left wall, $4.5m^3$ on right wall, and $5m^3$ on roof with the total volume of $14m^3$. When the overbreak volume is measured based on the look-out cross section, it was $3m^3$ on roof with the total volume of $8.4m^3$. The rate of overbreak volume against the average excavation volume was 8% based on the design cross section and 5% based on the look-out cross section.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.2
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• pp.45-50
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• 2009

The environment exploration is an essential process for indoor robots such as clean robot and security robot. Apartment house and office building has common frame structure, but internal arrangement of each room may be slightly different. So, it is more convenient to use a common frame map than to build a new map at every time the arrangement is changed. In this case, it is important to recognize invariant features such as wall, door and window. In this paper, an indoor mobile robot is implemented, and by using the laser scanner data and line segment histogram with respect to segment orientation and distance, an environment exploration method is presented and tested. This robot is fitted with a laser scanner, gyro sensor, ultra sonic sensor and IR sensor, and programed with C language.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.6_2
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• pp.611-623
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• 2013

Point cloud data (i.e., LiDAR; Light Detection and Ranging) collected by Airborne Laser Scanner (ALS) system is one of the major sources for surface reconstruction including DEM generation, topographic mapping and object modeling. Recently, demand and requirement of the accurate and realistic Digital Building Model (DBM) increase for geospatial platforms and spatial data infrastructure. The main issues in the object modeling such as building and city modeling are efficiency of the methodology and quality of the final products. Efficiency and quality are associated with automation and accuracy, respectively. However, these two factors are often opposite each other. This paper aims to introduce correction scheme of incorrectly determined Model Key Points (MKPs) regardless of the segmentation method. Planimetric and height locations of the MKPs were refined by surface patch fitting based on the Least-Squares Solution (LESS). The proposed methods were applied to the synthetic and real LiDAR data. Finally, the results were analyzed by comparing adjusted MKPs with the true building model data.

• Journal of the Korean Society of Industry Convergence
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• v.18 no.2
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• pp.90-98
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• 2015

This research propose with image-based visual a new approach to design a feedback control of mobile robot. because mobile robot must be recharged periodically, it is necessary to detect and move to docking station. Generally, laser scanner is used for detect of position of docking station. CCD Camera is also used for this purpose. In case of using camera, the position-based visual servoing method is widely used. But position-based visual servoing method requires the accurate calibration and it is hard and complex work. Another method using cameras is inmage-based visual feedback. Recently, image based visual feedback is widely used for robotic application. But it has a problem that cannot have linear trajectory in the 3-dimensional space. Because of this weak point, image-based visual servoing has a limit for real application. in case of 2-dimensional movement on the plane, it has also similar problem. In order to solve this problem, we point out the main reason of the problem of the resolved rate control method that has been generally used in the image-based visual servoing and we propose an image-based visual feedback method that can reduce the curved trajectory of mobile robot in th cartesian space.