• Title/Summary/Keyword: World Map

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Classification of Binary Obstacle Terrain Based on 3D World Models for Unmanned Robots (무인로봇을 위한 3D 월드모델에 기초한 Binary 장애지형의 판정)

  • Jin, Gang-Gyoo;Lee, Hyun-Sik;Lee, Yun-Hyung;Lee, Young-Il;Park, Yong-Woon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.4
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    • pp.516-523
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    • 2009
  • Recently, the applications of unmanned robots are increasing in various fields including surveillance and reconnaissance, planet exploration and disaster relief. To perform their missions with success, the robots should be able to evaluate terrain's characteristics quantitatively and identify traversable regions to progress toward a goal using mounted sensors. Recently, the authors have proposed techniques that extract terrain information and analyze traversability for off-road navigation of an unmanned robot. In this paper, we examine the use of 3D world models(terrain maps) to classify obstacle and safe terrain for increasing the reliability of the proposed techniques. A world model is divided into several patches and each patch is classified as belonging either to an obstacle or a non-obstacle using three types of metrics. The effectiveness of the proposed method is verified on real terrain maps.

Automatic Allocation Technique of Outdoor Advertising in FPS Game (FPS 게임의 시가지 맵에서 옥외광고 자동 배치 기법)

  • Kim, Dong-Ryong;Park, Jong-Seung
    • Journal of Korea Game Society
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    • v.16 no.6
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    • pp.69-78
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    • 2016
  • Outdoor ads such as billboards, banners or posters frequently appears in street maps of FPS games. In this paper, we propose a method for the automatic placement of outdoor advertising in the city area of FPS games. Outdoor ads are from real world products or enterprises and they are managed in a server computer. If the ads data are updated, the advertisements are automatically placed again without modifying source codes. When placing ads, we utilize the real world location of the game player regarding commercial spheres of ads and service types of real world shops. We evaluate priority scores for the available ads based on the collected real world properties and higher priority ads are preferentially placed on the map. The proposed ad placement method makes the game players feel affinity for the placed ads and also it increases the advertising effect.

Development of a Road Hazard Map Considering Meteorological Factors (기상인자를 고려한 도로 위험지도 개발)

  • Kim, Hyung Joon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.3
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    • pp.133-144
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    • 2017
  • Recently, weather information is getting closer to our real life, and it is a very important factor especially in the transportation field. Although the damage caused by the abnormal climate changes around the world has been gradually increased and the correlation between the road risk and the possibility of traffic accidents is very high, the domestic research has been performed at the level of basic research. The Purpose of this study is to develop a risk map for the road hazard forecasting service of weather situation by linking real - time weather information and traffic information based on accident analysis data by weather factors. So, we have developed a collection and analysis about related data, processing, applying prediction models in various weather conditions and a method to provide the road hazard map for national highways and provincial roads on a web map. As a result, the road hazard map proposed in this study can be expected to be useful for road managers and users through online and mobile services in the future. In addition, information that can support safe autonomous driving by continuously archiving and providing a risk map database so as to anticipate and preemptively prepare for the risk due to meteorological factors in the autonomous driving vehicle, which is a key factor of the 4th Industrial Revolution, and this map can be expected to be fully utilized.

이동로봇주행을 위한 영상처리 기술

  • 허경식;김동수
    • The Magazine of the IEIE
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    • v.23 no.12
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    • pp.115-125
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    • 1996
  • This paper presents a new algorithm for the self-localization of a mobile robot using one degree perspective Invariant(Cross Ratio). Most of conventional model-based self-localization methods have some problems that data structure building, map updating and matching processes are very complex. Use of a simple cross ratio can be effective to the above problems. The algorithm is based on two basic assumptions that the ground plane is flat and two locally parallel sloe-lines are available. Also it is assumed that an environmental map is available for matching between the scene and the model. To extract an accurate steering angle for a mobile robot, we take advantage of geometric features such as vanishing points. Feature points for cross ratio are extracted robustly using a vanishing point and intersection points between two locally parallel side-lines and vertical lines. Also the local position estimation problem has been treated when feature points exist less than 4points in the viewed scene. The robustness and feasibility of our algorithms have been demonstrated through real world experiments In Indoor environments using an indoor mobile robot, KASIRI-II(KAist Simple Roving Intelligence).

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Development of an Edge-Based Algorithm for Moving-Object Detection Using Background Modeling

  • Shin, Won-Yong;Kabir, M. Humayun;Hoque, M. Robiul;Yang, Sung-Hyun
    • Journal of information and communication convergence engineering
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    • v.12 no.3
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    • pp.193-197
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    • 2014
  • Edges are a robust feature for object detection. In this paper, we present an edge-based background modeling method for the detection of moving objects. The edges in the image frames were mapped using robust Canny edge detector. Two edge maps were created and combined to calculate the ultimate moving-edge map. By selecting all the edge pixels of the current frame above the defined threshold of the ultimate moving edges, a temporary background-edge map was created. If the frequencies of the temporary background edge pixels for several frames were above the threshold, then those edge pixels were treated as background edge pixels. We conducted a performance comparison with previous works. The existing edge-based moving-object detection algorithms pose some difficulty due to the changes in background motion, object shape, illumination variation, and noises. The result of the performance evaluation shows that the proposed algorithm can detect moving objects efficiently in real-world scenarios.

Sonar-Based Certainty Grids for Autonomous Mobile Robots (초음파 센서을 이용한 자율 이동 로봇의 써튼티 그리드 형성)

  • 임종환;조동우
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.39 no.4
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    • pp.386-392
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    • 1990
  • This paper discribes a sonar-based certainty grid, the probabilistic representation of the uncertain and incomplete sensor knowledge, for autonomous mobile robot navigation. We use sonar sensor range data to build a map of the robot's surroundings. This range data provides information about the location of the objects which may exist in front of the sensor. From this information, we can compute the probability of being occupied and that of being empty for each cell. In this paper, a new method using Bayesian formula is introduced, which enables us to overcome some difficulties of the Ad-Hoc formula that has been the only way of updating the grids. This new formula can be applied to other kinds of sensors as well as sonar sensor. The validity of this formula in the real world is verified through simulation and experiment. This paper also shows that a wide angle sensor such as sonar sensor can be used effectively to identify the empty area, and the simultaneous use of multiple sensors and fusion in a certainty grid can improve the quality of the map.

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A Robust Real-Time Mobile Robot Self-Localization with ICP Algorithm

  • Sa, In-Kyu;Baek, Seung-Min;Kuc, Tae-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2301-2306
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    • 2005
  • Even if there are lots of researches on localization using 2D range finder in static environment, very few researches have been reported for robust real-time localization of mobile robot in uncertain and dynamic environment. In this paper, we present a new localization method based on ICP(Iterative Closest Point) algorithm for navigation of mobile robot under dynamic or uncertain environment. The ICP method is widely used for geometric alignment of three-dimensional models when an initial estimate of the relative pose is known. We use the method to align global map with 2D scanned data from range finder. The proposed algorithm accelerates the processing time by uniformly sampling the line fitted data from world map of mobile robot. A data filtering method is also used for threshold of occluded data from the range finder sensor. The effectiveness of the proposed method has been demonstrated through computer simulation and experiment in an office environment.

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Design of VML-based Game System for Dynamic Load Balancing (동적 부하 분산을 위한 VML 기반 게임 시스템 설계)

  • Lee, Jeong-Jin;Won, Dong-Kee;Hwang, Ho-Jeon;Doo, Gil-Su;Kim, Beob-Kyun;An, Dong-Un;Chung, Seung-Jong
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.303-305
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    • 2005
  • In MMORPG, gamers can engage in a variety of activities with other players from all over the world. So, this kind of games has unprecedented heavy load. There are so many kind of method to balance the load of MMORPG. But. many of them are not adaptable to dynamic load variation. In this paper, we propose a dynamic map-partition method based on VML. By use of dynamic map-partition based on VML, we can easily adapt to dynamic load variation. And by changing VML. we can manage field servers within game system.

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Graphic User Interface System for a Building Cleaning Robot (빌딩청소로봇을 위한 그래픽 사용자 인터페이스 시스템)

  • Jo, Won-Ho;Yi, Soo-Yeong;Choi, Byoung-Wook
    • The Journal of Korea Robotics Society
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    • v.5 no.3
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    • pp.209-215
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    • 2010
  • This paper presents a graphic user interface system consisting of graphic simulator and remote control system for a building cleaning robot. It provides a tool of convenient 3D graphical map construction for real world. The 3D map is reconstructed from existing 2D building CAD data with DXF format by using OpenGL graphic API. Through this system, graphic display of robot's status information, remote control and cleaning scheduling can be done for a building cleaning robot. This proposed system is expected to give efficient way of graphic simulation and remote monitoring and control system for a building cleaning robot.

Assessing the Biotope for Urban Nature Conservation -In Case of New Seoul Town- (도시생태계 보전을 위한 비오톱 평가기법 -새서울 타운을 대상으로-)

  • 오충현;이경재
    • Journal of the Korean Institute of Landscape Architecture
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    • v.27 no.5
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    • pp.130-137
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    • 2000
  • New Seoul Town is a new town in Seoul Mapo-Gu, Which is planed by Seoul metropolitan government. There are Nanji Waste reclaimed land and Seoul world-cup stadium, which is under construction in the new town. This study is executed for urban nature conservation by assessing the biotope in the new town. The biotope map is mae by the selective mapping method, and assessing the biotope is executed by a quick method, which is originated with R. Wittig and Scheriber(1983). The assessment criteria include the period of development, area, rarity and variety of habitat condition. In the result from this study, biotope type of the new town is classified eight types, and all biotope type is valuable for nature conservation. The reason of this result is because of little natural area which is rice field, farm field, forest, swampy land, etc, except New Seoul Town, in Seoul Mapo-Gu. And so, Biotope in New A Seoul Town, must be conserved and restored in new town urban planning.

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