• 제목/요약/키워드: height map

검색결과 319건 처리시간 0.023초

스노우보드 게임을 위한 3D Height Map Tool 구현 (Implementation of 3D Height Map Tool for SnowBoard Game)

  • 김은주
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2006년도 춘계학술발표대회
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    • pp.177-180
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    • 2006
  • 체감형 게임을 하기 위한 지형 인터페이스 모델로써 스노우보드 게임에서 사용되는 지형 Map Tool을 구현한다. 게임에 쓰이게 될 3D 지형을 하이트 2D 맵 편직기만을 이용해서 만들기는 힘들며 이러한 방법은 지형의 세밀함이 떨어지고 게임상에서 계속 불러들여 확인하는 것은 비효율적이다. 하이트맵을 3D 상에서 직접 불러와 편집을 하고 저장할 수 있게 된다면 훨씬 효율적이며 퀄리티를 높일 수 있을 것이다.

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Z-map을 이용한 3차원 방전가공조건의 결정방법 (A Method for Determination of 3D-Electrical Discharge Machining Parameters Using Z-map)

  • 주상윤;이건범
    • 한국CDE학회논문집
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    • 제4권4호
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    • pp.355-359
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    • 1999
  • This paper presents a method for determining machining parameters in electrical discharge machining process (EDM) based on discharge area. The parameters are the peak value of currents, the pulse-on time, and the pulse-off time, on which the EDM performance depends chiefly. The optimal machining parameters are closely related on discharge area, which can be calculated from a tool electrode and a discharge height. In the paper the discharge area is obtained from NC code for machining the tool electrode instead of its geometric model. The method consists of following three steps. First a Z-Map model is constructed from the NC code. Secondly, the discharge area is obtained from the Z-Map model and a Z-height. Finally, the machining parameters are calculated from the discharge area. An introduced example shows that the machining parameters are calculated by the using a Z-map model obtained from the machining data for a tool electrode.

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Quick Bird 정사영상을 이용한 지형도 갱신 (Update of Topographic Map using QuickBird Orthoimage)

  • 이창경;우현권;정인준
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2004년도 추계학술발표회 논문집
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    • pp.295-301
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    • 2004
  • Satellite captures images periodically and economically over the area wider than aerial photographs, and reconnaissance to unapproachable area. For these advantages, mapping using high resolution satellite image has high potentials of marketability and development. Therefore, utilization of satellite image in mapping and GIS is expected to be growing and research on describable feature, positional accuracy and, possible mapping scale is urgently needed. This research presented that Quick Bird orthoimage could be used to update digital map on a scale of 1:5,000. Quick Bird image was corrected geometrically based on ground control points. DEM was generated using height data of digital topographic map. The orthoimge was produced by digital differential rectification based on DEM which was generated using height data of digital topographic map(scale 1;5,000 and 1;1,000). When the digital topographic map was overlaid with the orthoimage, it was very easy to find changed region or new features builded after the map compiled.

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수정된 화인 맵을 이용한 2-파장 홀로그래피와 잡음 제거 연구 (Study on Error Reduction in Dual Wavelength Digital Holography Using Modified Fine Map)

  • 유영훈
    • 한국광학회지
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    • 제22권3호
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    • pp.129-133
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    • 2011
  • 2-파장 홀로그래피에서 수정된 화인 맵을 이용하여 2-파장 홀로그래피에서 발생하는 잡음 증폭현상을 줄이는 연구를 수행하였다. 일반 적인 화인 맵은 측정체의 단차가 2-파장 홀로그래피에 사용되는 광원의 파장보다 작은 경우에는 잡음을 잘 줄일 수 있으나, 단차가 파장 보다 큰 경우에는 측정 결과에 영향을 주어 잘못 된 측정 결과를 보인다. 이러한 오차를 줄이기 위하여 수정된 화인 맵을 이용하였으며, 그 결과 측정체의 단차가 파장 보다 큰 경우에도 측정에 영향을 주지 않고 잡음을 줄일 수 있음을 확인 하였다.

실안개와 상대적 높이 단서 기반의 깊이 지도를 이용한 2D/3D 변환 기법 (2D/3D conversion method using depth map based on haze and relative height cue)

  • 한성호;김요섭;이종용;이상훈
    • 디지털융복합연구
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    • 제10권9호
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    • pp.351-356
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    • 2012
  • 본 논문은 단일영상의 실안개 정보와 상대적 높이 단서를 기반으로 깊이 지도를 생성하고, 이를 이용하여 2D/3D 변환을 하는 기법에 관한 연구이다. 기존의 실안개 정보만을 깊이 지도로써 이용하는 경우, 안개가 없는 영상에서 오류가 발생할 수 있다. 본 논문에서는 이러한 오류를 줄이기 위해, 상대적 높이 단서 기반의 깊이 지도를 생성하고, 실안개 정보와 결합하는 방법을 제안하였다. 또한 Mean Shift Segmentation을 이용한 gray scale 영상과 실안개 정보의 깊이 지도를 결합하여 객체의 경계를 선명화함으로써 3D 영상의 품질을 향상시킬 수 있도록 하였다. 입력영상과 최종 깊이 지도를 DIBR(Depth Image Based Rendering)을 통해 좌영상과 우영상의 시점영상을 생성하고, 적청영상의 형태로 결합함으로써 3D 영상을 생성하였고, 깊이 지도간의 PSNR을 측정하여 검증하였다.

국가바람지도 구축전략 수립을 위한 해외사례 분석 (Global Case Study to Setup Establishment Strategy of National Wind Map)

  • 황효정;김현구
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2009년도 춘계학술대회 논문집
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    • pp.458-459
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    • 2009
  • This global case study pursues diversification and intensification for an application system of the national wind map which has been developed to support national strategy building and promotion of wind energy dissemination. We chose nine counties' national wind maps and compared their map area, extraction height, temporal and spatial resolution, download services, etc. to derive a best practice for the Korea wind map application system. Therefore, the application system are designed to offer high resolution height information of which covers wind turbine rotor sweeping area and time-series dataset which can be downloaded for further analysis by users. It is anticipated that the system would contribute greatly to wind energy policy, business and research sectors once the derived ideas have been implemented to the application system

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

  • 강규리;이대규;심현철
    • 로봇학회논문지
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    • 제17권1호
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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.

EXTRACTING OUTLINE AND ESTIMATING HEIGHT OF LAND FEATURES USING LIDAR DATA

  • Lee, Woo-Kyun;Song, Chul-Chul
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.181-183
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    • 2006
  • Digital topographic map in Korea contains layers of spatial and attribute data for 8 land features such as railroads, watercourses, roads, buildings and etc. Some of the layers such as building and forest don't include any information about height, which can be just prepared by interpretation of remote sensed data or field survey. LiDAR(Light Detection And Ranging) data using active pulse and digital camera provides data about height and form of land features. LiDAR data can be used not only to extract the outline of land features but also to estimate the height. This study presents technical availability for extraction and estimation of land feature's outline and height using LiDAR data which composes of natural and artificial land features, and digital aerial photograph which was taken simultaneously with the LiDAR. The estimated location, outline and height of land features were compared with the field survey data, and we could find that LiDAR data and digital aerial photograph can be a useful source for estimating the height of land features as well as extracting the outline.

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Parking Space Recognition for Autonomous Valet Parking Using Height and Salient-Line Probability Maps

  • Han, Seung-Jun;Choi, Jeongdan
    • ETRI Journal
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    • 제37권6호
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    • pp.1220-1230
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    • 2015
  • An autonomous valet parking (AVP) system is designed to locate a vacant parking space and park the vehicle in which it resides on behalf of the driver, once the driver has left the vehicle. In addition, the AVP is able to direct the vehicle to a location desired by the driver when requested. In this paper, for an AVP system, we introduce technology to recognize a parking space using image sensors. The proposed technology is mainly divided into three parts. First, spatial analysis is carried out using a height map that is based on dense motion stereo. Second, modelling of road markings is conducted using a probability map with a new salient-line feature extractor. Finally, parking space recognition is based on a Bayesian classifier. The experimental results show an execution time of up to 10 ms and a recognition rate of over 99%. Also, the performance and properties of the proposed technology were evaluated with a variety of data. Our algorithms, which are part of the proposed technology, are expected to apply to various research areas regarding autonomous vehicles, such as map generation, road marking recognition, localization, and environment recognition.

HEIGHT BOUND AND PREPERIODIC POINTS FOR JOINTLY REGULAR FAMILIES OF RATIONAL MAPS

  • Lee, Chong-Gyu
    • 대한수학회지
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    • 제48권6호
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    • pp.1171-1187
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    • 2011
  • Silverman [14] proved a height inequality for a jointly regular family of rational maps and the author [10] improved it for a jointly regular pair. In this paper, we provide the same improvement for a jointly regular family: let h : ${\mathbb{P}}_{\mathbb{Q}}^n{\rightarrow}{{\mathbb{R}}$ be the logarithmic absolute height on the projective space, let r(f) be the D-ratio of a rational map f which is de ned in [10] and let {$f_1,{\ldots},f_k|f_l:\mathbb{A}^n{\rightarrow}\mathbb{A}^n$} bbe finite set of polynomial maps which is defined over a number field K. If the intersection of the indeterminacy loci of $f_1,{\ldots},f_k$ is empty, then there is a constant C such that $ \sum\limits_{l=1}^k\frac{1}{def\;f_\iota}h(f_\iota(P))>(1+\frac{1}{r})f(P)-C$ for all $P{\in}\mathbb{A}^n$ where r= $max_{\iota=1},{\ldots},k(r(f_l))$.