• Title/Summary/Keyword: Blind Spot Detection System (BSDS)

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A Method for Rear-side Vehicle Detection and Tracking with Vision System (카메라 기반의 측후방 차량 검출 및 추적 방법)

  • Baek, Seunghwan;Kim, Heungseob;Boo, Kwangsuck
    • 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.

Methodology for Evaluating the Effectiveness of Integrated Advanced Driver Assistant Systems (In-vehicle 통합 운전자지원시스템 효과평가 방법론 개발 및 적용)

  • Jeong, Eunbi;Oh, Cheol;Jung, Soyoung
    • Journal of Korean Society of Transportation
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    • v.32 no.4
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    • pp.293-302
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    • 2014
  • Recently, advanced sensors and communication technologies have been widely applied to advanced safety vehicles for reducing traffic accidents and injury severity. To apply the advanced safety vehicle technologies, it is important to quantify safety benefits, which is a fundamental for justifying application. This study proposed a methodology for quantifying the effectiveness of the Advanced Driver Assistant System (ADAS) with the Analytic Hierarchy Process (AHP). When the proposed methodology is applied to 2008-2010 Gyeonggi-province crash data, ADAS would reduce about 10.18% of crashes. In addition, Adaptive Cruise Control, Automatic Emergency Braking System, Lane Departure Warning System and Blind Spot Detection System are expected to reduce about 10.43%, 10.17%, 9.96%, and 10.18%, respectively. The outcomes of this study might support decision making for developing not only vehicular technologies but also relevant safety policies.