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Setting of the Operating Conditions of Stereo CCTV Cameras by Weather Condition
문광일,편무욱,이수봉,이도림 한국측량학회 2014 한국측량학회지 Vol.32 No.6
A wide variety of image application methods, such as aerial image, terrestrial image, terrestrial laser, andstereo image point are currently under investigation to develop three-dimensional 3D geospatial information. In this study, matching points, which are needed to build a 3D model, were examined under diverse weatherconditions by analyzing the stereo images recorded by closed circuit television (CCTV) cameras installed in theU-City. The tests on illuminance and precipitation conditions showed that the changes in the number of matchingpoints were very sensitively correlated with the changes in the illuminance levels. Based on the performancesof the CCTV cameras used in the test, this study was able to identify the optimal values of the shutter speed andiris. As a result, compared to an automatic control mode, improved matching points may be obtained for imagesfilmed using the data obtained through this test in relation to different weather and illuminance conditions.
Big Data Architecture Design for the Development of Hyper Live Map (HLM)
문수정,편무욱,배상원,이도림,한상원 한국측량학회 2016 한국측량학회지 Vol.34 No.2
The demand for spatial data service technologies is increasing lately with the development of realistic 3D spatial information services and ICT (Information and Communication Technology). Research is being conducted on the real-time provision of spatial data services through a variety of mobile and Web-based contents. Big data or cloud computing can be presented as alternatives to the construction of spatial data for the effective use of large volumes of data. In this paper, the process of building HLM (Hyper Live Map) using multi-source data to acquire stereo CCTV and other various data is presented and a big data service architecture design is proposed for the use of flexible and scalable cloud computing to handle big data created by users through such media as social network services and black boxes. The provision of spatial data services in real time using big data and cloud computing will enable us to implement navigation systems, vehicle augmented reality, real-time 3D spatial information, and single picture based positioning above the single GPS level using low-cost image-based position recognition technology in the future. Furthermore, Big Data and Cloud Computing are also used for data collection and provision in U-City and Smart-City environment as well, and the big data service architecture will provide users with information in real time.