• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.67-80
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• 2024

In south korea, the elderly population has been continuously increasing, so blind spots in administrative welfare services for the elderly are expected to increase. therefore, this study aimed to analyze the types of blind spots in administrative welfare services for the elderly in gijang-gun, Busan, where the elderly population is increasing. using a network analysis, the demand and service supply ranges were derived. after that, in comparison to their sizes, the blind spots were divided into three types: i) blind spots in service supply, ii) blind spots in mobility constraint, and iii) dual blind spots. As a result, in gijang-gun, the blind spots in mobility constraint were 21.5%, the dual blind spots were 9.5%, and the blind spots in service supply were 3.2%. Based on these results, this study suggested policy directions for resolving the blind spots in administrative welfare services for the elderly by type.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.3D
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• pp.383-389
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• 2011

The purpose of this paper is to analyze the blind spot for public transportation by level of service(LOS) in public transportation supply service. For the purpose, we proposed indices of service coverage area, service frequency and hours of service and analysis method for them. Service coverage area analysis is to decide station location and network design for the maximum beneficiary area. Moreover, we can use the service frequency is for the maximum service frequency decision and hours of service is for the minimum operation hours. The results of this study are applied to the plan of minimum supply service, minimum service frequency and minimum operation hours for city and national public transportation plan.

• Journal of Urban Science
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• v.7 no.2
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• pp.53-60
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• 2018

Digital Twin is a technology that creates a photocopy of real-world objects on a computer and analyzes the past and present operational status by fusing the structure, context, and operation of various physical systems with property information, and predicts the future society's countermeasures. In particular, 3D rendering technology (UAS, LiDAR, GNSS, etc.) is a core technology in digital twin. so, the research and application are actively performed in the industry in recent years. However, UAS (Unmanned Aerial System) and LiDAR (Light Detection And Ranging) have to be solved by compensating blind spot which is not reconstructed according to the object shape. In addition, the terrestrial LiDAR can acquire the point cloud of the object more precisely and quickly at a short distance, but a blind spot is generated at the upper part of the object, thereby imposing restrictions on the forward digital twin modeling. The UAS is capable of modeling a specific range of objects with high accuracy by using high resolution images at low altitudes, and has the advantage of generating a high density point group based on SfM (Structure-from-Motion) image analysis technology. However, It is relatively far from the target LiDAR than the terrestrial LiDAR, and it takes time to analyze the image. In particular, it is necessary to reduce the accuracy of the side part and compensate the blind spot. By re-optimizing it after fusion with UAS and Terrestrial LiDAR, the residual error of each modeling method was compensated and the mutual correction result was obtained. The accuracy of fusion-based 3D model is less than 1cm and it is expected to be useful for digital twin construction.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.292-294
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• 2006

현재 대다수의 자동차에 장착된 사이드미러와 백미러 같은 기존의 비젼 시스템은 사각지대(blind spot)를 가지고 있다. 이러한 단점을 보안하기 위해 고급 자동차에는 후방에 wide-angle 카메라를 장착하고 있다. 기존의 wide-angie 카메라 시스템은 1대의 카메라를 사용하여 후방 영상을 얻고 그것을 그대로 보여줌으로서 어느 정도 사각지대를 줄여주는 역할을 하고 있지만 여전히 확보되지 않은 사각지대가 존재한다. 하지만 다수의 카메라를 사용하면 보다 넓은 후방 시야를 확보함으로서 보다 완벽하게 사각지대를 제거할 뿐만 아니라, 좀 더 다양한 위험물 정보를 주행 중에도 운전자에게 제공하는 것이 가능해진다. 본 논문에서는 사각지대를 제거하기 위해 차량의 좌. 우측 그리고 후방에 장착된 카메라를 통해 얻어진 영상물 하나의 통합된 파노라마 영상물 생성하는 방법을 제안하고 몇 가지 경우에 대해 실험한다. 우리는 3D 와핑을 통해 각 영상의 Bird's Eye View를 생성하고, 생성된 Bird's Eye View를 2차원 이동변환만을 이용해서 하나의 통합된 Bird's Eye View를 만든다. 이렇게 만들어진 통합된 영상을 후방 카메라를 기준으로 다시 3D 와핑 함으로서 완전한 파노라마 영상을 생성한다.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.767-773
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• 2007

현재 시판되고 있는 대다수의 자동차에 장착된 사이드미러와 백미러 같은 기존의 비젼 시스템은 모두 사각지대(blind spot)를 가지고 있다. 사각지대는 크고 작은 사고의 원인이 되기도 한다. 이러한 단점을 보완하기 위해 자동차 기업들은 자사의 고급 자동차 후방에 광각(wide-angle) 카메라를 장착하고 있다. 광각 카메라 시스템은 1대의 카메라를 사용하여 후방 영상을 얻고 그것을 그대로 보여줌으로서 어느 정도 사각지대를 줄여주는 역할을 하고 있지만 후방의 모든 사각지대를 제거해주지는 못한다. 그러므로 다수의 카메라를 사용하면 보다 넓은 후방 시야를 확보함으로서 보다 완벽하게 사각지대를 제거할 뿐만 아니라, 좀 더 다양한 위험물 정보를 주행 중에도 운전자에게 제공하는 것이 가능해진다. 본 논문에서는 사각지대를 제거하기 위해 차량의 좌, 우측 그리고 후방에 3대의 카메라를 장착하고, 장착된 카메라를 통해 얻어진 영상을 통합한 파노라마 영상을 생성하는 방법과 다양한 환경에서 실험한 결과를 제시한다. 파노라마 영상을 생성하기 위해서 제안하는 방법은 3D 와핑을 통해 각 영상의 Bird's Eye View를 생성하고, 생성된 Bird's Eye View를 2차원 이동변환만을 이용해서 하나의 통합된 Bird's Eye View를 만든다. 이렇게 만들어진 통합된 영상을 후방 카메라를 기준으로 다시 3D 와핑 함으로서 완전한 파노라마 영상을 생성한다. 제시된 방법으로 다양한 상황에 따라 실험을 수행하고, 이를 통해 문제점을 찾아본다.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.3
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• pp.233-241
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• 2014

This paper contributes to development of a new method for detecting rear-side vehicles and estimating the positions for blind spot region or providing the lane change information by using vision systems. Because the real image acquired during car driving has a lot of information including the target vehicle and background image as well as the noises such as lighting and shading, it is hard to extract only the target vehicle against the background image with satisfied robustness. In this paper, the target vehicle has been detected by repetitive image processing such as sobel and morphological operations and a Kalman filter has been also designed to cancel the background image and prevent the misreading of the target image. The proposed method can get faster image processing and more robustness rather than the previous researches. Various experiments were performed on the highway driving situations to evaluate the performance of the proposed algorithm.

• Journal of Korea Multimedia Society
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• v.24 no.2
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• pp.267-273
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• 2021

Recently, the small-size mobile robots with remote-control are rapidly growth which market of mobile is increased in the world. Especially, the smart-phones are widely used for interface device in the small size of a mobile robot. The research goal is control system design which is applied to miniaturization of a mobile robot using smart-phone and it can be confirmed performance for designed system. Meanwhile, the fabrication of mini-mobile robot can also be remote-control operation through the WIFI performance of a smart-phone. The smart-phone is used to remote-control for robot operation which control data transmit to robot via the WIFI network. To drive the robot, we can observe by the smart-phone screen and it can easily adjust the robot drive condition and direction by smart-phone button. Consequentially, there was no malfunction and images were printed out well. However, in drive, because of blind spot, robot was bumped into obstacle. Therefore, the additional test is necessary to sensor for blind spot which sensor can be equipment to mobile robot. In addition, the experiment with robot object recognition is needed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.1
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• pp.153-159
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• 2012

Driver's view has blind spot of automobile surroundings due to physical components of automobile architecture. Obstacles on blind spot are the cause of car destruction and car accidents. Cars which produced in recent have obstacle detection sensors and rear view cameras which provide information of obstacles on the blind sopt, and have also AVM(Around View Monitoring) which provides automobile surroundings for driver's safe driving. During a low-speed travel while parking or moving in a narrow street, a driver get help for safe driving by taking information of automobile surroundings using the above-mentioned devices. In this paper, we present a design and implementation of a 4-sided monitoring (4SM) system, which helps a driver see an integrated view of a vehicle's perimeter at a glance, using a car PC connected to four cameras installed on the front, rear, left, and right sides.

• Journal of KIISE:Software and Applications
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• v.36 no.8
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• pp.653-663
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• 2009

In this paper, we propose a blind spots elimination system using three cameras. A wide-angle camera is attached on trunk for eliminating blind spots of a rear-view mirror and two cameras are attached on each side-view mirror for eliminating blind spots of vehicle's sides. In order to eliminate blind spots efficiently, we suggest a method to build a panoramic mosaic view with two side images and one wide-angle rear image. First, we obtain an undistorted image from a wide-angle camera of rear-view and calculate the focus-of-contraction (FOC) in undistorted images of rear-view while the car is moving straight forward. Second, we compute a homography among side-view images and an undistorted image of rear-view in flat road scenes. Next, we perform an image registration process after road and background region segmentation. Finally, we generate various views such as a cylinder panorama view, a top view and an information panoramic mosaic view.

• Journal of IKEEE
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• v.22 no.1
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• pp.168-173
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• 2018

To overcome the problems of the existing black box which is exposed to the risk of blind spots in the imaging of a fixed front and rear views of an object, this paper suggests a new intelligent black box that can detect and shoot side views of an object. This paper proposes an algorithm of the intelligent black box with a rotating function in order to compensate for the side blind spot of the vehicle. This intelligent black box with rotating screen adopts the infrared distance sensor to sense an object which approaches to the vehicle and rotates automatically towards the object.