• Journal of KIBIM
• /
• v.11 no.4
• /
• pp.53-62
• /
• 2021

The successful implementation of Scan-to-BIM automation depends on the entire process from scanning of buildings, including indoor facilities and furniture, to generating BIM models. However, the conventional Scan-to-BIM process requires a lot of time, manpower, and cost for the manual generation of BIM models including indoor objects. To solve this problem, this study applied a Scan-to-BIM automation process using a deep learning model and parametric algorithm to an existing building, Kangwon Fire Service Academy. To improve the accuracy of the BIM model, after object data was extracted from the scan data, the data was corrected according to actual object-specific conditions. As a result, the accuracy of the BIM model created by the proposed Scan-to-BIM automation process was 91% compared to the actual area of the construction drawings. In addition, it was confirmed that the BIM objects were automatically generated for 10 object classes.

• Journal of the Korean Society of Manufacturing Technology Engineers
• /
• v.7 no.2
• /
• pp.62-68
• /
• 1998

This paper presents the application of computer vision for the purpose of determining the position of the unknown object in the plane. The presented control method is to estimate the six view parameters representing the relationship between the image plane coordinates and the real physical coordinates. The estimation of six parameters is indispensable for transforming the 2-dimensional camera coordinates to the 3-dimensional spatial coordinates. Then, the position of unknown point is estimated based on the estimated parameters depending on the cameras. The suitability of this control scheme is demonstrated experimentally by determining position of the unknown object in the plane.

• The Journal of Information Technology and Database
• /
• v.5 no.1
• /
• pp.109-119
• /
• 1998

Users want to browse various groups of nested attribute values of an object. On the other hand, in case of the presentation of a multimedia object, the form-based presentation is superior to the graph-based presentation. Therefore we propose a form-based presentation transformation scheme that allows users to reorganize the presentation layout to fit the limited screen and to show the values of all the needed attributes. For the representation of the presentation scenario of an object a presentation information class and the presentation transformation operations are defined. We show how these operations transform the default presentation into the wanted presentation by navigating through a multimedia object with the COMIB (COMposite Icon Browser).

• The Journal of Information Systems
• /
• v.32 no.4
• /
• pp.119-136
• /
• 2023

Purpose We introduce a groundbreaking surveillance system explicitly designed to overcome the limitations typically associated with conventional surveillance systems, which often focus primarily on object-centric behavior analysis. Design/methodology/approach The study introduces an innovative approach to risk assessment in surveillance, employing image captioning to generate descriptive captions that effectively encapsulate the interactions among objects, actions, and spatial elements within observed scenes. To support our methodology, we developed a distinctive dataset comprising pairs of [image-caption-danger score] for training purposes. We fine-tuned the BLIP-2 model using this dataset and utilized BERT to decipher the semantic content of the generated captions for assessing risk levels. Findings In a series of experiments conducted with our self-constructed datasets, we illustrate that these datasets offer a wealth of information for risk assessment and display outstanding performance in this area. In comparison to models pre-trained on established datasets, our generated captions thoroughly encompass the necessary object attributes, behaviors, and spatial context crucial for the surveillance system. Additionally, they showcase adaptability to novel sentence structures, ensuring their versatility across a range of contexts.

• Korean Journal of Construction Engineering and Management
• /
• v.9 no.6
• /
• pp.129-136
• /
• 2008

There is a tremendous need for an effective indoor facility management since the building are tend to be built taller and bigger due to latest technology. Also, information that is continuously used and transferred during the design and construction phase is emerging due to 3D object-oriented CAD. Therefore, a system that will use such information for facility management should be developed. In this study, we have defined a process that will automatically create an spatial network model and also verified the usability by establishing an sample model. As a result, an effective spatial network has been generated and an evacuation path finder was found efficiently.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2002.11c
• /
• pp.1791-1794
• /
• 2002

이동체데이터베이스((MODB : Moving Object Database)는 사람이나 또는 자동차와 같이 이동성을 가지는 객체를 저장하고 관리하는 시스템이다. LBS(Location-Based Services)의 활성화로 인해서 위치정보(Location Information)는 다양하고 고부가가치의 서비스를 가능하게 하였으며, 차세대 무선인터넷 서비스의 킬러 어플리케이션으로 확대될 전망에 있다. 이러한 LBS 시스템에서 대용량의 위치정보를 저장하고, 빠르게 접근하는 이동체데이터베이스는 LBS 플랫폼의 핵심 기능 중의 하나이다. 향후에 위치정보를 이용한 서비스가 확대되어, 일반인이 쉽게, 그리고 필수적으로 사용되는 기능으로 확대 되었을 때, 이동체데이터베이스의 중요성은 더욱 커질 것이며, 이동체데이터베이스의 시스템 부하는 그만큼 커지게 된다. 더군다나 대용량 이동체 정보를 획득하는 부분에서도 통신부하의 심각성은 미리 고려되어져야 함을 쉽게 예측할 수가 있다. 즉, 대용량의 위치정보를 다양한 디바이스를 통해서 무선인터넷환경에서 획득하려고 할 때, 그 수가 많으면 많을수록 통신부하는 점점 커지며, 획득한 정보는 이미 과거의 정보가 되어서 사용할 수 없는 정보가 될 수가 있다. 이에 본 논문에서는 이동체데이터베이스의 위치획득 부분에서 통신 부하를 줄이기 위한 다양한 모델에 대해서 논의하고 구현에 앞서 설계한다.

• ETRI Journal
• /
• v.45 no.2
• /
• pp.240-253
• /
• 2023

Spatial information is geometrical information combined with the properties of an object. In city areas where unmanned aerial vehicle (UAV) usage demand is high, it is necessary to determine the appropriate driving altitude considering the height of buildings for safe driving. In this study, we propose a data-provision method that generates the driving altitude of UAVs with a pseudo-3D building model. The pseudo-3D building model is developed using high-precision spatial information provided by the National Geographic Information Institute. The proposed method generates the driving altitude of the UAV in terms of tile information, including the UAV's starting and arrival points and a straight line between the two points, and provides the data to users. To evaluate the efficacy of the proposed method, UAV driving altitude information was generated using data of 763 551 pseudo-3D buildings in Seoul. Subsequently, the generated driving altitude data of the UAV was verified in AirSim. In addition, the execution time of the proposed method and the calculated driving altitude were analyzed.

• Journal of Korea Multimedia Society
• /
• v.12 no.6
• /
• pp.777-784
• /
• 2009

Recently, the importance of geoCRM (geographic Customer Relationship Management) systems are growing rapidly. So, result of the recognition that their applications extend well beyond the traditional CRM systems with the advent of ubiquitous environment and generalized location based services. A majority of traditional CRM systems are either incapable of managing spatial data or are not user-friendly when doing so. On the other hand, the geoCRM systems can be built as providing the geographic-based functions about CRM, including spatial and market analyses and the visualization of customer data, etc. However, it lacks the specific model and implementation of the geoCRM systems, being caused by the incomprehension of needs, the absence of related standards and the difficulties of development, and so on. In this paper, we develop a new spatial analysis supporting system that to enhance productivity through the convenient use and management of spatial data. The functionality provided by our system includes a set of analysis functions based on data mining techniques which allow a user to affect powerful transformation on spatial data. Particularly, both spatial data and non-spatial attributes can be efficiently handled as an object through our OODBMS.

• Spatial Information Research
• /
• v.10 no.4
• /
• pp.551-565
• /
• 2002

To carry out systematic groundwater assessment, exploration and management and to use these for protection of optimal groundwater yield, a data analysis and management system is required. Thus, the object of this research was to develop and apply software that integrates GIS and groundwater modeling: GISGAM (GIS for groundwater analysis and management system). The GIS program ArcView and the groundwater-modeling program MODFLOW were used for the GISGAM. The program components consist of a pre-processor, a processor, and a post-processor for groundwater modeling. In addition, GIS functions such as input, manipulation, analysis and output of data were embedded into the program. In applying the program to pilot area, topography, geology, soil, land use and well databases, and a groundwater flow model were constructed for the study area. This case study revealed the advantage and convenience of groundwater modeling using GIS capabilities. By integrating GIS and the groundwater model, the impact of changing values of hydrogeological constants on model results could be more easily evaluated.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.153-155
• /
• 2003

Laser scanning has become a viable technique for the collection of a large amount of accurate 3D point data densely distributed on the scanned object surface. The inherent 3D nature of the sub-randomly distributed point cloud provides abundant spatial information. To explore valuable spatial information from laser scanned data becomes an active research topic, for instance extracting digital elevation model, building models, and vegetation volumes. The sub-randomly distributed point cloud should be segmented and classified before the extraction of spatial information. This paper investigates some exist segmentation methods, and then proposes an octree-based split-and-merge segmentation method to divide lidar data into clusters belonging to 3D planes. Therefore, the classification of lidar data can be performed based on the derived attributes of extracted 3D planes. The test results of both ground and airborne lidar data show the potential of applying this method to extract spatial features from lidar data.