• Title/Summary/Keyword: Rear black-box

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Designed rear sensing black-box system using Kinect (Kinect를 이용한 후방 감지 블랙박스 시스템 설계)

  • Kim, Gyu-Hyun;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.290-293
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    • 2013
  • Due to vehicle personal injury accident does not, and to analyze the cause and prevention of a variety of devices and technologies are coming out. Among other things, representative of the black box, and rear camera. Despite these advances in technology, and vehicle human injuries continue to occur. The reason for this is that the children, the negligence of the driver or the vehicle is in reverse when a person suddenly passed the back of the vehicle, or the rear of the existing detection system is properly detected was unable to. Therefore, In this paper, we want to design a black box to reveal the cause of the accident, using Kinect to prevent accidents, rear-view camera and rear integrated black box system.

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Intelligent Black Box with Rotating Screen using Infrared Distance Sensor (적외선 거리 센서를 이용한 지능형 화면회전 블랙박스)

  • Rhee, Eugene
    • 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.

A Study on the Fire Risk of Black Box Wiring in Motor Vehicle (자동차의 블랙박스 와이어링 화재 위험성에 관한 연구)

  • Kang, Sin-Dong;Kim, Ju-Hee;Choi, Jun-Pyo;Kim, Jae-Ho
    • Journal of the Korean Society of Safety
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    • v.32 no.6
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    • pp.22-28
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    • 2017
  • According to the National Fire Data System (NFDS), more than 5,000 vehicle fires have occurred every year for the last 10 years. Vehicle fires are primarily caused by mechanical (breaking system and engine), electrical (wiring and battery), and chemical (oil and fuel gas leakage) problems. The electrical factor has increased with the installation of driver convenience equipment. For example, today, the black box is widely used to provide video data recording of motor vehicle accidents. The black box consists of a front camera, rear camera, and wires. The black box wires are directly connected to the junction box or fuse box from the start battery that operates to provide normal on power supplying for engine stop. It is extremely dangerous when the wires short circuit due to insulation aging, mechanical and electrical stress, etc. In this study, the black box wiring fire risk have been analyzed and investigated when the steady state and abnormal operations, and under the following conditions: wiring arrangements with a high temperature condition, insulation aging, poor contact, and short circuits. The results showed that black box wiring short circuits had a higher fire risk than the other fire hazard elements. To prevent fire hazards caused by black box wiring, the black boxes must be installed by qualified service personnel. Do not modify the wiring, remove the fuse and secure the wiring using cable ties or insulation tape.

Design Android-based image processing system using the Around-View (안드로이드 기반 영상처리를 이용한 Around-View 시스템 설계)

  • Kim, Gyu-Hyun;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.421-424
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    • 2014
  • Currently, car black box, and CCTV products, such as image processing are prevalent on the market giving convenience to users.In particular, the black box of the driver driving a vehicle accident that occurred at the time to help identify the cause of the accident is gaining. Black box, the front or rear of the vehicle can check the image only. Because of the angle of view of the driver's vision or the black box can not determine a non-scene. In order to solve this problem by a more advanced system, the black box AVM (Around-View Monitoring) systems have been developed. AVM system to the vehicle's top-view images obtained before and after, left and right of the image, ie, $360^{\circ}$ image of the vehicle can be secured. AVM system must be installed on the vehicle, a desktop that you can acquire images Cling conditions. In this paper, we propose an Android-based tablet using the AVM system of the vehicle can achieve a $360^{\circ}$ image you want to design the system.

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Design Around Algorithm view Using wireless camera (무선 카메라를 이용한 어라운드 뷰 알고리즘 설계)

  • Kim, Gyu-Hyun;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.466-469
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    • 2013
  • Cars that are currently available to the operator to ensure convenience and safety for electronics devices now on the market supply is developed. The current car black box of electronics service, parking, is to help when reversing. The black box is necessary at the time of the accident. After-market through a lot of these are advertised. However, these products are known only to the rear or the front of the picture, as well, at the time of driving, the accident and the front left and right lateral images of the boundary of the car can not be confirmed. Electronics devices on the market, but they can not give this problem solving. In this paper, we propose these to the algorithm-around view of the driver's operation of the vehicle after the car sideways, left and right of the room with integrated video Black Box is designed to provide.

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Development of USB DVR-Rear Cameras Combined System (USB DVR과 후방 카메라를 결합한 AVM 시스템 개발)

  • Kim, Gyu-Hyun;Jang, Jong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.11
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    • pp.2753-2758
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    • 2014
  • Around-View, the image processing device which increases the comfort of drivers is sold in the market. This system prevents accidents in advance while driving or parking. The accidents are caused with their inexperienced driving or bad visibility. It is developed for driving convenience. However, it dosen't spread to the driver widely due to the problem of the high installation costs and complex installation process. First, expensive equipment second, difficult development environment and third, inconvenient installation procedure. So the drivers don't have many opportunities to use this system and dare to develop this system. I think if one of the problems can be solved, users might be able to access this system at low cost. In this paper, the AVM(Around-View Monitoring) minimizes two of them. Expensive equipment, inconvenient installation. The costly problems were solved by using low-cost USB device and rear cameras. In view of inconvenient installation process, the new system was designed to make it easy for people to install it. Through this, it can ease the burden of consumers.

Enhancement of Object Detection using Haze Removal Approach in Single Image (단일 영상에서 안개 제거 방법을 이용한 객체 검출 알고리즘 개선)

  • Ahn, Hyochang;Lee, Yong-Hwan
    • Journal of the Semiconductor & Display Technology
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    • v.17 no.2
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    • pp.76-80
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    • 2018
  • In recent years, with the development of automobile technology, smart system technology that assists safe driving has been developed. A camera is installed on the front and rear of the vehicle as well as on the left and right sides to detect and warn of collision risks and hazards. Beyond the technology of simple black-box recording via cameras, we are developing intelligent systems that combine various computer vision technologies. However, most related studies have been developed to optimize performance in laboratory-like environments that do not take environmental factors such as weather into account. In this paper, we propose a method to detect object by restoring visibility in image with degraded image due to weather factors such as fog. First, the image quality degradation such as fog is detected in a single image, and the image quality is improved by restoring using an intermediate value filter. Then, we used an adaptive feature extraction method that removes unnecessary elements such as noise from the improved image and uses it to recognize objects with only the necessary features. In the proposed method, it is shown that more feature points are extracted than the feature points of the region of interest in the improved image.

Design Android-based image processing system using the Around-View (후방 카메라와 USB 장치 기반의 영상처리를 이용한 Around-View 시스템 개발)

  • Kim, Gyu-Hyun;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.465-468
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    • 2014
  • The image processing device sold by the market, which increases the comfort of the driver Around-View of the camera. This system while driving or when parked, came about to prevent accidents caused by driver error or disable the visibility of the system. However, it did not spread widely to the driver due to the problem of the high installation cost and complex installation process from the system for easy operation. Due to problems such as first, expensive equipment and second, the development environment is difficult and third, inconvenient installation process, it is not out because of the prohibitively high cost burden and difficult development environment, programmers and operators. I think if this is solved even one problem of this system would be able to access the user are a little more affordable. In this paper The AVM(Around-View Monitoring) system is proposed, the two problems that minimize expensive equipment, the installation process is inconvenient problem of the three aforementioned systems. Solved the problem caused by a lot of the cost by using low-cost USB device, and a rear camera. Was developed to facilitate the installation is possible by considering the inconvenient installation. Reducing the price paid by consumers because of the system.

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