• Proceedings of the Korean Information Science Society Conference
• /
• 2007.10b
• /
• pp.274-279
• /
• 2007

본 논문은 MPEG2 다중화 방식을 이용한 고화질 이미지를 실시간으로 송수신하는 시스템을 제안한다. 송신 시스템은 카메라로부터 획득한 고화질 이미지와 GPS 장비로부터 획득한 위치정보를 MPEG2 TS 방식으로 변환하여 전송한다. 수신 시스템은 송신되는 MPEG2 TS data를 실시간으로 고화질 이미지와 위치정보로 추출한 후에 화면에 display한다. 본 논문에서는 오류 발생에 대한 회피 방법으로 고화질 이미지를 포함한 패킷을 단순히 중복적으로 전송하는 방법을 사용하였다. 이러한 방법은 신호의 왜곡 혹은 패킷 손실에 의해 발생되었던 오류들을 현저하게 줄여주었으나 한 장의 고화질 이미지에 대한 평균 처리시간을 증가하였다. 평균 처리 시간을 줄이기 위해 송신 시스템은 스레드를 이용한 전송 방법을 사용하였으며 이러한 방법의 사용은 스레드 기법을 사용하지 않았을 때보다 빠른 평균 처리시간을 측정할 수 있었다.

• Journal of Korean Society for Geospatial Information Science
• /
• v.14 no.3 s.37
• /
• pp.23-30
• /
• 2006

The case of a forest area has tome limitations of adopting a ground surveying like as TS (Total Station) and RTK-GPS (Real Time Kinematic-GPS) due to the specificity of the forest area. Therefore, the new method, is different from exist the cadastral re-surveying method in a metro area and a cropland, is applicably considered in the forest area. In this paper, we suggest the applicability of the digital cadastral map of forest which is used at KLIS. According to the result of study, the most important area error value for adopted in the cadastral re-surveying is almost contained the error tolerance. Therefore, KLIS data, if it is related with the actual reference data for adjusting the location boundary, is suitable to be adopted in the cadastral re-surveying.

• Journal of Soil and Groundwater Environment
• /
• v.17 no.6
• /
• pp.119-128
• /
• 2012

The applicability and accuracy of Revised Universal Soil Loss Equation (RUSLE) model on the estimation of soil loss at impacted area of shooting range was tested to further the understanding of soil erosion at shooting ranges by using RUSLE. At a shooting range located in northern Kyunggi, the amount of soil loss was estimated by RUSLE model and compared with that estimated by Global Positioning System-Total Station survey. As results, the annual soil loss at a study site (202 m long by 79 m wide) was estimated to be 2,915 ton/ha/year by RUSLE and 3,058 ton/ha/year by GPS-TS survey, respectively. The error between two different estimations was less than 5%, however, information on site conditions should be collected more to adjust model coefficients accurately. At the study shooting range, sediments generated by rainfall was transported from the top to near the bottom of the sloping face through sheet erosion as well as rill erosion, forming a gully along the direction of the storm water flow. Coarser fractions of the sediments were redeposited in the limited area along the channel. Distribution characteristics of explosive compounds in soil before and after summer monsoon rainfall in the study area were compared with the erosion patterns. Soil sampling and analyses results showed that the dispersion of explosive compounds in surface soil was consistent with the characteristics of soil erosion and redeposition pattern of sediment movements after rainfalls.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2004.04a
• /
• pp.151-156
• /
• 2004

현재 전국에 산재해 있는 많은 소규모의 저수지들은 현재까지 관리 상태나 실지 내용적에 대한 정확한 자료가 모두 구비되어있지 못한 실정이다. 본 연구에서는 행정구역상 저수지가 많이 분포되어있는 영남권의 경주시 73개 소규모 저수지 가운데 23개소를 선정하여 실험을 하였다. RKT-GPS를 이용하여 5초마다 데이터를 취득하였고, E/S를 이용하여 1초 간격으로 수심에 대한 값과 TS를 이용하여 현황 측량을 실시하였다. 이렇게 취득된 자료를 가지고 3D 모델링을 하여본 결과 15개소(약 65%)의 저수지가 양호한 상태였음을 알 수 있었고, 과거자료와의 비교ㆍ분석을 통하여 현재 저수지 상태에 대한 정확한 내용적을 알 수 있었다. 또한 23개소 저수지의 만수면적과 유효저수량을 분석한 결과 만수면적은 20.63%, 유효저수량은 3.34 %만큼 줄어들었음을 알 수 있었다. 이를 통하여 현재 저수지 상태에 대한 분석과 관리 방향에 대한 방법에 대하여 기여하고자 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.30 no.6_1
• /
• pp.539-547
• /
• 2012

Volume survey for earthwork is conducted periodically at every month at large scaled construction sites for request payment for the construction. Currently, the earthwork volume is calculated on the overlapped drawing for two cross sections which were created by new and previous surveying data observed by GPS and TS. However the survey is required lots of time and expenses as it is a pin-point surveying method thus surveyors intend to get data only for the heavy undulated topographic features chosen by himself to save time and expenses. Consequently, it causes poor results due to low dense measurement as well as it's not matched with the results by another surveyors. As a result, the conflicts related in earthwork volume calculation often arises among the owner, contractors and sub contractors. In this study, we developed a method to get surveying data for fast and accurate volume calculation using 3D Mobile Laser System and conducted an application test. Also we carried out experiments for topographic survey using MLS to judge for the application additionally. The results showed that we could reduce a time for cross section survey from 48 hours to 2 hours and collected high dense data which have 0.2m interval instead of 3m interval compare with existing method. Also we could make a map which has high accuracy within 10cm in horizontal through topographic survey using MLS.

• Journal of the Korean GEO-environmental Society
• /
• v.22 no.2
• /
• pp.35-39
• /
• 2021

Photogrammetry using drone can produce high-resolution ortho image and acquire high-accuracy 3D information, which is useful. Therefore, this study attempted to determine the possibility of using drone-photogrammetry in park construction by producing a topographic map using drone-photogrammetry and analyzing the problems and accuracy generated during production. For this purpose, we created ortho image and DSM (digital surface model) using drone images and created topographic status map by vectorizing them. Accuracy was compared based on topographic status map by GPS (global positioning system) and TS (total station). The resulting of analyzing mean of the residuals at check points showed that 0.044 m in plane and 0.066 m in elevation, satisfying the tolerance range of 1/1,000 numerical maps, and result of compared lake size showed a difference of about 4.4%. On the other hand, it was difficult to obtain accurate height values for terrain in which existed vegetation when producing the topographic map, and in the case of underground buried objects, it is not possible to confirm it in the image, so direct spatial information acquisition was necessary. Therefore, it is judged that the topographic status map using drone photogrammetry can be efficiently constructed if direct spatial data acquisition is achieved for some terrain.

• Korean Journal of Geomatics
• /
• v.3 no.1
• /
• pp.15-22
• /
• 2003

This study aims to construct a management system of road position information as part of the build-up to a maintenance and management system of highways. First, information on the positions of the roads were obtained by a real-time kinematic satellite surveying, and then the degree of accuracy was analyzed in comparison with the data of the existing design drawings. The linear coordinates of road center line obtained by using RTK GPS showed about 7.6-13.2cm errors in X and Y directions in the case of the national road No.2 section, and about 8.4-9.2cm errors in the case of local road No.1045 section. These errors were within the tolerance scope regulated by the TS survey, and could be practically used. In the case of vertical alignment, there were about 6.2cm errors in the Z direction in local road No.1045 section. Aerial photographs are normally used in producing numerical maps, and it can be practically used because the tolerance scope of the elevation control point is l0cm when the scale of aerial photographs is 1/1000. The management system of road position information, utilizing Object-Oriented Programming(OOP), was built having the data acquired in this way as the attribute data. The system developed in this way can enable us to spot the positions of road facilities, the target of management with ease, to easily update the data in case of changes in the positions of roads and road facilities, and to manage the positions of roads and road facilities more effectively.

• International journal of advanced smart convergence
• /
• v.11 no.2
• /
• pp.7-12
• /
• 2022

Safety and security are the topmost priority in every environment. With the aid of Artificial Intelligence (AI), many objects are becoming more intelligent, conscious, and curious of their surroundings. The recent scientific breakthroughs in autonomous vehicular designs and development; powered by AI, network of sensors and the rapid increase of Internet of Things (IoTs) could be utilized in maintaining safety and security in our environments. AI based on deep learning architectures and models, such as Deep Neural Networks (DNNs), is being applied worldwide in the automotive design fields like computer vision, natural language processing, sensor fusion, object recognition and autonomous driving projects. These features are well known for their identification, detective and tracking abilities. With the embedment of sensors, cameras, GPS, RADAR, LIDAR, and on-board computers in many of these autonomous vehicles being developed, these vehicles can properly map their positions and proximity to everything around them. In this paper, we explored in detail several ways in which these enormous features embedded in these autonomous vehicles, such as the network of sensors fusion, computer vision and natural image processing, natural language processing, and activity aware capabilities of these automobiles, could be tapped and utilized in safeguarding our lives and environment.

• International journal of advanced smart convergence
• /
• v.13 no.1
• /
• pp.37-47
• /
• 2024

This study presents the results of designing a system that determines the location of a person in an indoor environment based on a single IMU sensor attached to the tip of a person's shoe in an area where GPS signals are inaccessible. By adjusting for human footfall, it is possible to accurately determine human location and trajectory by correcting errors originating from the Inertial Measurement Unit (IMU) combined with advanced machine learning algorithms. Although there are various techniques to identify stepping, our study successfully recognized stepping with 98.7% accuracy using an artificial intelligence model known as Long Short-Term Memory (LSTM). Drawing upon the enhancements in our methodology, this article demonstrates a novel technique for generating a 200-meter trajectory, achieving a level of precision marked by a 2.1% error margin. Indoor pedestrian navigation systems, relying on inertial measurement units attached to the feet, have shown encouraging outcomes.

• Journal of Korean Society for Geospatial Information Science
• /
• v.19 no.4
• /
• pp.119-126
• /
• 2011

During precise survey on the top of High rise buildings and civil structures, optical surveying equipments like a Total Station are not recommended to use because of some reasons that uneasier alignment with reflectors located at the top of building, increasing error depends on increasement of observation distance and unavailable dynamic positioning etc. Recently various GPS positioning methods have been applied to this job however almost of them are post-processing method which is required much longer time during for whole process includes stake-out, cross checking, fixing positions and final inspections. Therefore, in this study, we applied with RTK surveying system which allows stake-out and inspection in realtime to avoid delaying of construction schedule and also applied with Quasi Static RTK measurement and network adjustment to get a high accuracy within a few millimeters in structure positioning to achieve a successful management for process and quality control of the project. As a result, very high accurate surveying for structures within approx. 2mm in realtime has been achieved when surveyor conduct a network adjustment using least square method for 4 base lines created by Quasi Static RTK data and we expect this method will be applied to construction survey for high rise buildings and civil structures in the future.