• 한국군사과학기술학회지
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• 제12권4호
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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.

• 한국게임학회 논문지
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• 제16권6호
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• pp.69-78
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• 2016

FPS 게임 속 시가지 맵에서 간판, 현수막, 벽보 등의 옥외광고가 흔히 등장한다. 본 논문은 실제 상권들의 옥외광고를 FPS 게임의 시가지 맵에 자동으로 배치하는 방법을 제안한다. 옥외광고는 실제 제품이나 기업의 광고이며 서버에서 관리된다. 실제 광고가 업데이트 되는 경우 게임 소스를 수정하지 않고도 자동으로 배치된다. 광고의 배치에 있어서 플레이어의 위치와 실제 상권의 위치의 관계, 실제 상점의 서비스 형태 등을 활용한다. 수집한 속성들에 우선순위 점수를 부여하여 높은 순위가 우선적으로 맵에 배치된다. 제안하는 배치 방법은 플레이어의 위치를 기반으로 광고를 배치하므로 친근감 유발과 함께 광고 효과를 높일 수 있다.

• 한국측량학회지
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• 제35권3호
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• pp.133-144
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• 2017

최근 기상정보는 우리 실생활에 더욱 밀접해지고 있으며, 특히 교통분야에는 매우 중요한 요소로 작용하고 있다. 전 세계적으로 기상이변에 따른 교통분야의 피해는 점차 증가하고 있지만, 기상상태에 따른 도로 위험정도, 교통사고 발생가능성 등 상관관계가 매우 높을 것으로 추정됨에도 불구하고 교통예보서비스, 교통안전정보 제공 등 국내 연구는 기초연구 수준에 진행되고 있다. 본 연구는 기상인자별 사고분석 자료를 기반으로 실시간 기상정보와 교통정보를 연계하여 기상상황별 도로위험 예보서비스를 위한 위험지도 개발을 연구목적으로 하고 있다. 이를 위해 관련자료 수집 및 분석, 자료가공, 기상상태별 예측모형을 적용, 웹 지도상에서 전국고속도로를 대상으로 기상상태별도로 위험지도를 제공하는 방안을 개발하였다. 그 결과 본 연구에서 개발한 도로 위험지도는 향후 온라인, 모바일 서비스 등 도로 관리자, 사용자에게 유용하게 활용할 수 있을 것으로 기대할 수 있다. 또한, 제4차 산업혁명의 핵심 키워드인 자율주행자동차 운행에 있어 기상요소에 따른 위험도를 예측하고 선제적으로 대비할 수 있도록 위험지도 DB를 지속적으로 아카이빙하고 제공하여 보다 안전한 자율주행을 지원할 수 있는 정보로써 활용할 수 있을 것으로 판단된다.

• 전자공학회지
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• 제23권12호
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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).

• Journal of information and communication convergence engineering
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• 제12권3호
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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.

• 대한전기학회논문지
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• 제39권4호
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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.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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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.

• 로봇학회논문지
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• 제5권3호
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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.

• 한국조경학회지
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• 제27권5호
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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.