• 전기전자학회논문지
• /
• 제18권4호
• /
• pp.536-543
• /
• 2014

Terrain classification is still a challenging issue in image processing, especially with high resolution satellite images. The well-known obstacles include low accuracy in the detection of targets, especially for the case of man-made structures, such as buildings and roads. In this paper, we present an efficient approach to classify and detect building footprints, foliage, grass and road from high resolution grayscale satellite images. Our contribution is to build a strong classifier using AdaBoost based on a combination of co-occurrence and Haar-like features. We expect that the inclusion of Harr-like feature improves the classification performance of the man-made structures, since Haar-like feature is extracted from corner features and rectangle features. Also, the AdaBoost algorithm selects only critical features and generates an extremely efficient classifier. Experimental result indicates that the classification accuracy of AdaBoost classifier is much higher than that of the conventional classifier using back propagation algorithm. Also, the inclusion of Harr-like feature significantly improves the classification accuracy. The accuracy of the proposed method is 98.4% for the target detection and 92.8% for the classification on high resolution satellite images.

• 전자공학회논문지
• /
• 제54권3호
• /
• pp.97-107
• /
• 2017

자동문에 있어서 적외선과 마이크로파 센서는 물체인식 입력신호를 통해 모터 개폐동작 제어를 담당하는 핵심부품으로 많이 사용하고 있다. 적외선과 마이크로파 기반의 센서를 자동문에 적용한 기존 시스템 경우, 대부분 건물외부로 노출하여 설치하기 때문에 태양의 적외선 또는 가시광선에 의해 오동작이 발생하게 된다. 또한 실내 외의 온도 차로 인한 환경변화는 물체인식 검출신호에 잡음을 일으키는 원인이 되기도 한다. 이러한 문제점과 더불어 빠르게 이동하는 물체를 감지센서가 검출영역에 대한 처리속도를 따라가지 못하는 하드웨어 결함이 감지 사각지대를 만들게 된다. 이는 자동문을 이용하는 통행자의 안전문제에 직접적인 영향을 주고 있기 때문에 빠른 개선방안이 필요한 시점이다. 본 논문은 기존의 감지센서 외에 초음파 센서를 추가 설치하여 검출영역을 개선하기 위한 실험을 진행하였다. 초음파 신호의 검출특성과 장점을 자동문에 적용하여 빠르게 이동하는 물체의 접근경로와 고정 장애물의 위치영역을 정확하고 신속하게 처리하는 연산회로와 검출 알고리즘을 구현하였다. 이를 통해 초음파 센서를 적용한 자동문이 사각지대를 감지하는 검출영역에서 성능개선으로 이어지는 결과를 현장실험을 통해서 확인하고 개선방안을 제안하였다.

• 제어로봇시스템학회논문지
• /
• 제12권4호
• /
• pp.395-399
• /
• 2006

A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of unpaved trail are included in this paper.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
• /
• pp.328-333
• /
• 1994

This paper presents a real-time calculation method to generate the trajectory of robot manipulator for the purpose of avoiding collision. In order to model 3-D workspace, we use octree which has been used for fast collision detection. The levels of octree are used as the cost function to represent the distance between the manipulator and the obstacles. This criterion is not exact, but, due to this, we can obtain the approximate feasible trajectory extremely quickly. We will show the effectiveness of our method with some simulation examples. For example, the proposed method can solve a problem within 1 second on Intel 80486 processor running at 33 MHz. It has taken more than half an hour with one of the previously proposed methods.

• 한국유체기계학회 논문집
• /
• 제17권6호
• /
• pp.69-73
• /
• 2014

To predict flow fields and chemical agent dispersion in urban area, wind tunnel experiments was performed. The agent was adopted MS (methyl salicylate) because the real chemical agent is unsafe. The exact concentration of methyl salicylate was generated by the commercial gas generator (STI-2500) and three different obstacle shapes were applied (i.e., rectangular, cylinder and pyramid). The concentration was measured with the qualified ion mobility sensor and gas chromatography. The data necessary for virtual test method of the real chemical agent were obtained.

• 제어로봇시스템학회논문지
• /
• 제15권12호
• /
• pp.1246-1253
• /
• 2009

To be high efficient for a navigation of unmanned ground vehicle, it must be able to distinguish between safe and hazardous regions in its immediate environment. We present an advanced method using laser range finder for building global 2D digital maps that include environment information. Laser range finder is used for mapping of obstacles and driving environment in the 2D laser plane. Rotary encoders are used for localization of UGV. The main contributions of this research are the development of an algorithm for global 2D map building and it will turn a UGV navigation based on map matching into a possibility. In this paper, a map building algorithm will be introduced and an assessment of algorithm reliability is judged at an each environment.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2010년도 춘계학술대회 논문집
• /
• pp.1112-1117
• /
• 2010

The intelligent safety system for level crossing which employs information and communication technology has been developed in USA and Japan, etc. But, in Korea, the relevant research has not been performed. In this paper, we analyze the cause of railway level crossing accidents and the inherent problem of the existing safety equipments. Based on analyzed results, we design the intelligent safety system which prevent collision between a train and a vehicle. This system displays train approaching information in real-time at roadside warning devices, informs approaching train of the detected obstacle in crossing areas, and is interconnected with traffic signal to empty the crossing area before train comes. Especially, we present the video based obstacle detection algorithm and verify its performance with prototype H/W since the abrupt obstacles in crossing areas are the main cause of level crossing accidents. We identify that the presented scheme detects both pedestrian and vehicle with good performance. Currently, we demonstrate developed railway crossing intelligence system at one crossing of Young-dong-seon line of Korail with Sea Train cockpit.

• 대한임베디드공학회논문지
• /
• 제7권1호
• /
• pp.25-31
• /
• 2012

We propose a method for an indoor mobile robot to track user with infrared transmitter. Several infrared receivers attached around by the mobile robot enable the robot to determine the moving direction by comparing the received signal patterns. The cost of the proposed system is not only cheaper than ultrasonic system, image signal processing, RFID, and RSSI method, but also robust against environment change because any complex algorithm is not necessary. In the mobile robot, ultrasonic sensors are equipped to avoid obstacles located in the moving direction, and a simple algorithm is embedded to avoid the case of poor signal reception.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1995년도 추계학술대회 논문집 학회본부
• /
• pp.587-589
• /
• 1995

The safe navigation of a mobile robot requires the recognition of the environment in terms of vision processing. To be guided in the given path, the robot should acquire the information about where the wall and corridor are located. Also unexpected obstacles should be detected as rapid as possible for the safe obstacle avoidance. In the paper, we assume that the mobile robot should be navigated in the flat surface. In terms of this assumption we simplify the correspondence problem by the free navigation surface and matching features in that coordinate system. Basically, the vision processing system adopts line segment of edge as the feature. The extracted line segments of edge out of both image are matched in the free nevigation surface. According to the matching result, each line segment is labeled by the attributes regarding obstacle and free surface and the 3D shape of obstacle is interpreted. This proposed vision processing method is verified in terms of various simulations and experimentation using real images.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2002년도 추계학술대회 논문집
• /
• pp.554-557
• /
• 2002

This paper describes power potential field method for the collision-free path planning of stereo-vision based mobile robot. Area based stereo matching is performed for obstacle detection in uncertain environment. The repulsive potential is constructed by distributing source points discretely and evenly on the boundaries of obstacles and superposing the power potential which is defined so that the source potential will have more influence on the robot than the sink potential when the robot is near to source point. The mobile robot approaches the goal point by moving the robot directly in negative gradient direction of the main potential. We have investigated the possibility of power potential method for the collision-free path planning of mobile robot through various experiments.