• Title/Summary/Keyword: map mapping

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API Design and Webpage Mapping for GPS NMEA based Google Map (GPS NMEA기반의 Google MAP용 API설계 및 웹페이지 매핑)

  • Kang, Min-Goo
    • Journal of Internet Computing and Services
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    • v.12 no.2
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    • pp.29-36
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    • 2011
  • In this paper, NMEA based Parser programming for Smart-phone was designed at a GPS receiver. The design scheme for Map API and sensor web services was designed according to the Google Map API standards that the position values of NMEA sentences were changed due to XML files. As a result of interfaces between GPS NMEA sentences of Smart-phone and Google Map API, it is possible that real time visual positioning sensor web services about the Google Map mapping from a GPS receiver could be worked on web sever.

3D Multi-floor Precision Mapping and Localization for Indoor Autonomous Robots (실내 자율주행 로봇을 위한 3차원 다층 정밀 지도 구축 및 위치 추정 알고리즘)

  • Kang, Gyuree;Lee, Daegyu;Shim, Hyunchul
    • The Journal of Korea Robotics Society
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    • v.17 no.1
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    • pp.25-31
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    • 2022
  • Moving among multiple floors is one of the most challenging tasks for indoor autonomous robots. Most of the previous researches for indoor mapping and localization have focused on singular floor environment. In this paper, we present an algorithm that creates a multi-floor map using 3D point cloud. We implement localization within the multi-floor map using a LiDAR and an IMU. Our algorithm builds a multi-floor map by constructing a single-floor map using a LOAM-based algorithm, and stacking them through global registration that aligns the common sections in the map of each floor. The localization in the multi-floor map was performed by adding the height information to the NDT (Normal Distribution Transform)-based registration method. The mean error of the multi-floor map showed 0.29 m and 0.43 m errors in the x, and y-axis, respectively. In addition, the mean error of yaw was 1.00°, and the error rate of height was 0.063. The real-world test for localization was performed on the third floor. It showed the mean square error of 0.116 m, and the average differential time of 0.01 sec. This study will be able to help indoor autonomous robots to operate on multiple floors.

THE BRAIDINGS IN THE MAPPING CLASS GROUPS OF SURFACES

  • Song, Yongjin
    • Journal of the Korean Mathematical Society
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    • v.50 no.4
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    • pp.865-877
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    • 2013
  • The disjoint union of mapping class groups of surfaces forms a braided monoidal category $\mathcal{M}$, as the disjoint union of the braid groups $\mathcal{B}$ does. We give a concrete and geometric meaning of the braidings ${\beta}_{r,s}$ in $\mathcal{M}$. Moreover, we find a set of elements in the mapping class groups which correspond to the standard generators of the braid groups. Using this, we can define an obvious map ${\phi}\;:\;B_g{\rightarrow}{\Gamma}_{g,1}$. We show that this map ${\phi}$ is injective and nongeometric in the sense of Wajnryb. Since this map extends to a braided monoidal functor ${\Phi}\;:\;\mathcal{B}{\rightarrow}\mathcal{M}$, the integral homology homomorphism induced by ${\phi}$ is trivial in the stable range.

Automatic wall slant angle map generation using 3D point clouds

  • Kim, Jeongyun;Yun, Seungsang;Jung, Minwoo;Kim, Ayoung;Cho, Younggun
    • ETRI Journal
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    • v.43 no.4
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    • pp.594-602
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    • 2021
  • Recently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban regeneration projects. Mostly, the inspector directly measures the inclination of the wall or partially uses 3D point measurements using a static light detection and ranging (LiDAR). These approaches are costly, time-consuming, and only limited space can be measured. Therefore, we propose a mobile mapping system and automatic slant map generation algorithm, configured to capture urban environments online. Additionally, we use the LiDAR-inertial mapping algorithm to construct raw point clouds with gravity information. The proposed method extracts walls from raw point clouds and measures the slant angle of walls accurately. The generated slant angle map is evaluated in indoor and outdoor environments, and the accuracy is compared with real tiltmeter measurements.

ON THE RATIONAL COHOMOLOGY OF MAPPING SPACES AND THEIR REALIZATION PROBLEM

  • Abdelhadi Zaim
    • Communications of the Korean Mathematical Society
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    • v.38 no.4
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    • pp.1309-1320
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    • 2023
  • Let f : X → Y be a map between simply connected CW-complexes of finite type with X finite. In this paper, we prove that the rational cohomology of mapping spaces map(X, Y ; f) contains a polynomial algebra over a generator of degree N, where N = max{i, πi(Y)⊗ℚ ≠ 0} is an even number. Moreover, we are interested in determining the rational homotopy type of map(𝕊n, ℂPm; f) and we deduce its rational cohomology as a consequence. The paper ends with a brief discussion about the realization problem of mapping spaces.

Development of Electronic Mapping System for N-fertilizer Dosage Using Real-time Soil Organic Matter Sensor (실시간 토양 유기물 센서와 DGPS를 이용한 질소 시비량 지도 작성 시스템 개발)

  • 조성인;최상현;김유용
    • Journal of Biosystems Engineering
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    • v.27 no.3
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    • pp.259-266
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    • 2002
  • It is crucial to know spatial soil variability for precision farming. However, it is time-consuming, and difficult to measure spatial soil properties. Therefore, there are needs fur sensing technology to estimate spatial soil variability, and for electronic mapping technology to store, manipulate and process the sampled data. This research was conducted to develop a real-time soil organic matter sensor and an electronic mapping system. A soil organic matter sensor was developed with a spectrophotometer in the 900∼1,700 nm range. It was designed in a penetrator type to measure reflectance of soil at 15cm depth. The signal was calibrated with organic matter content (OMC) of the soil which was sampled in the field. The OMC was measured by the Walkeley-Black method. The soil OMCs were ranged from 0.07 to 7.96%. Statistical partial least square and principle component regression analyses were used as calibration methods. Coefficient of determination, standard error prediction and bias were 0.85 0.72 and -0.13, respectively. The electronic mapping system was consisted of the soil OMC sensor, a DGPS, a database and a makeshift vehicle. An algorithm was developed to acquire data on sampling position and its OMC and to store the data in the database. Fifty samples in fields were taken to make an N-fertilizer dosage map. Mean absolute error of these data was 0.59. The Kring method was used to interpolate data between sampling nodes. The interpolated data was used to make a soil OMC map. Also an N-fertilizer dosage map was drawn using the soil OMC map. The N-fertilizer dosage was determined by the fertilizing equation recommended by National Institute of Agricultural Science and Technology in Korea. Use of the N-fertilizer dosage map would increase precision fertilization up to 91% compared with conventional fertilization. Therefore, the developed electronic mapping system was feasible to not only precision determination of N-fertilizer dosage, but also reduction of environmental pollution.

The Quality Assurance and Accuracy Improvement of National Basemap Digital Mapping Database (국가기본도 수치지도제작 데이터베이스의 품질유지 및 정확도 향상)

  • Lee, Hyun-Jik
    • Journal of Korean Society for Geospatial Information Science
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    • v.6 no.2 s.12
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    • pp.91-103
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    • 1998
  • The digital map data of national basemap which will be basic data of the information age is accomplished to produce and are ready to distribute to public. Generally, the quality of digital map is affected to data history, position accuracy, attribute accuracy, logical consistency and completeness. The quality of digital map Is assured to use basic data for the field of various appication. The purpose of this study is to develop automated qualify control program of digital map through analysis type of errors in digital mapping, to determine method of high quality digital mapping. As a results of this study, The automated quality control program of digital map is developed to assure logical consistency and completeness of digital map which is used to principal data in the field of GIS and is determined the process of high quality digital mapping. Also, the results of this study is contributed to quality assrence and accuracy improvement of national basemap digital mapping database.

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A Study on the Optimum Map Projection for the Large Scale Mapping in Korea (우리나라의 대축척지도제작을 위한 최적지도투영법의 선택에 관한 연구)

  • 최재화;조재윤
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.5 no.1
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    • pp.23-31
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    • 1987
  • Maps need the suitable map projection according to the scale of its seeing that the distortion is increasing between the projected geodesic line on the map and the ellipsoidal line owing to the scale up. In this paper, the optimum map projection for the large scale mapping as well as analysis of current mapping in Korea is proposed.

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3D Mesh Simplification from Range Image Considering Texture Mapping (Texture Mapping을 고려한 Rang Image의 3차원 형상 간략화)

  • Kong, Changhwan;Kim, Changhun
    • Journal of the Korea Computer Graphics Society
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    • v.3 no.1
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    • pp.23-28
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    • 1997
  • We reconstruct 3D surface from range image that consists of range map and texture map, and simplify the reconstructed triangular mesh. In this paper, we introduce fast simplification method that is able to glue texture to 3D surface model and adapt to real-time multipled level-of detail. We will verify the efficiency by applying to the scanned data of Korean relics.

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Visual Mapping from Spatiotemporal Table Information to 3-Dimensional Map (시-공간 도표정보의 3차원 지도 기반 가시화기법)

  • Lee, Seok-Jun;Jung, Soon-Ki
    • Journal of the HCI Society of Korea
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    • v.1 no.2
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    • pp.51-58
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    • 2006
  • Information visualization, generally speaking, consists of three steps: transform from raw data to data model, visual mapping from data model to visual structure, and transform from visual structure to information model. In this paper, we propose a visual mapping method from spatiotemporal table information, which is related to events in large-scale building, to 3D map metaphor. The process has also three steps as follows. First, after analyzing the table attributes, we carefully define a context to fully represent the table-information. Second, we choose meaningful attribute sets from the context. Third, each meaningful attribute set is mapped to one well defined visual structure. Our method has several advantages. First, users can intuitively achieve non-spatial information through the 3D map which is a powerful spatial metaphor. Second, this system shows various visual mapping method applicable to other data models in the form of table, especially GIS. After describing the whole concept of our visual mapping, we will show the results of implementation for several requests.

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