• Title/Summary/Keyword: Automobile Wireless Camera System

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Development of a Wireless Video Transmitter for Automobile Camera System based on the Binary-CDMA Technology (Binary CDMA 기반 차량용 카메라 시스템의 무선 영상전송기 개발)

  • Choi, Jae-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.7
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    • pp.1571-1578
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    • 2014
  • Binary CDMA is a new standard technology for wireless communication developed by our country that makes high speed communications and good quality of services for multimedia data such as voice and video. In this paper we researched the design and implementation of a wireless Video Transmitter and Video Server - the main devices for the Automobile Wireless Camera System - based on the Binary-CDMA technology that makes them freely installed in any place without wired cables restriction.

New Vehicle Verification Scheme for Blind Spot Area Based on Imaging Sensor System

  • Hong, Gwang-Soo;Lee, Jong-Hyeok;Lee, Young-Woon;Kim, Byung-Gyu
    • Journal of Multimedia Information System
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    • v.4 no.1
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    • pp.9-18
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    • 2017
  • Ubiquitous computing is a novel paradigm that is rapidly gaining in the scenario of wireless communications and telecommunications for realizing smart world. As rapid development of sensor technology, smart sensor system becomes more popular in automobile or vehicle. In this study, a new vehicle detection mechanism in real-time for blind spot area is proposed based on imaging sensors. To determine the position of other vehicles on the road is important for operation of driver assistance systems (DASs) to increase driving safety. As the result, blind spot detection of vehicles is addressed using an automobile detection algorithm for blind spots. The proposed vehicle verification utilizes the height and angle of a rear-looking vehicle mounted camera. Candidate vehicle information is extracted using adaptive shadow detection based on brightness values of an image of a vehicle area. The vehicle is verified using a training set with Haar-like features of candidate vehicles. Using these processes, moving vehicles can be detected in blind spots. The detection ratio of true vehicles was 91.1% in blind spots based on various experimental results.