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    차량 간 GPS 공통 가시위성 검색을 통한 상대위치 추정 정확도 향상에 대한 연구 = Improvement of Relative Positioning Accuracy by Searching GPS Common Satellite between the Vehicles

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    https://www.riss.kr/link?id=A99614391

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In this paper, we present relative positioning algorithm for moving land vehicle using GPS, MEMS IMU and B-CDMA module. This algorithm does not calculate precise absolute position but calculates relative position directly, so additional infrastructure and I2V communication device are not required. Proposed algorithm has several steps. Firstly, unbiased relative position is calculated using pseudorange difference between two vehicles. Simultaneously, the algorithm estimates position of each vehicle using GPS/INS integration. Secondly, proposed algorithm performs filtering and finally estimates relative position and relative velocity. Using proposed algorithm, we can obtain more precise relative position for moving land vehicles with short time interval as IMU sensor has. The simulation is performed to evaluate this algorithm and the several field tests are performed with real time program and miniature vehicles for verifying performance of proposed algorithm.
    번역하기

    In this paper, we present relative positioning algorithm for moving land vehicle using GPS, MEMS IMU and B-CDMA module. This algorithm does not calculate precise absolute position but calculates relative position directly, so additional infrastructure...

    In this paper, we present relative positioning algorithm for moving land vehicle using GPS, MEMS IMU and B-CDMA module. This algorithm does not calculate precise absolute position but calculates relative position directly, so additional infrastructure and I2V communication device are not required. Proposed algorithm has several steps. Firstly, unbiased relative position is calculated using pseudorange difference between two vehicles. Simultaneously, the algorithm estimates position of each vehicle using GPS/INS integration. Secondly, proposed algorithm performs filtering and finally estimates relative position and relative velocity. Using proposed algorithm, we can obtain more precise relative position for moving land vehicles with short time interval as IMU sensor has. The simulation is performed to evaluate this algorithm and the several field tests are performed with real time program and miniature vehicles for verifying performance of proposed algorithm.

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    참고문헌 (Reference)

    1 "Traffic Accident Factor Analysis"

    2 D. Lenton, "The small screen [TV to Mobile Devices]" 49 (49): 38-41, 2003

    3 TX CHen, "Outdoor vision-based obstacle avoidance for autonomous land vehicle using fuzzy logic" 2011

    4 Gemunu Senadeera Gurusinghe, "Multtiple Car-Following Data with Real-Time Kinematic Global positioning System" 2002

    5 T Williams, "Evaluation of GPS-based method of relative positioning for automotive safety applications" University of Calgary 2011

    6 Kyoung-su Yi, "Collision Warning/Collision Avoidance System for Land Vehicle" 21 (21): 19-22, 1999

    7 Yasushi Yagi, "Collision Avoidance Using Omnidirectional Image Sensor" 1991

    8 Clack, S, "Autonomous land vehicle navigation using milimeter wave radar" 1998

    9 M.J.Woo, "A Relative Nacigation System for Veihlce Platooning" 2001

    10 Walton Williamson, "A Comparison of State Space, Range Space and Carrier Phase Differential GPS/INS Relative Navigation" 2000

    1 "Traffic Accident Factor Analysis"

    2 D. Lenton, "The small screen [TV to Mobile Devices]" 49 (49): 38-41, 2003

    3 TX CHen, "Outdoor vision-based obstacle avoidance for autonomous land vehicle using fuzzy logic" 2011

    4 Gemunu Senadeera Gurusinghe, "Multtiple Car-Following Data with Real-Time Kinematic Global positioning System" 2002

    5 T Williams, "Evaluation of GPS-based method of relative positioning for automotive safety applications" University of Calgary 2011

    6 Kyoung-su Yi, "Collision Warning/Collision Avoidance System for Land Vehicle" 21 (21): 19-22, 1999

    7 Yasushi Yagi, "Collision Avoidance Using Omnidirectional Image Sensor" 1991

    8 Clack, S, "Autonomous land vehicle navigation using milimeter wave radar" 1998

    9 M.J.Woo, "A Relative Nacigation System for Veihlce Platooning" 2001

    10 Walton Williamson, "A Comparison of State Space, Range Space and Carrier Phase Differential GPS/INS Relative Navigation" 2000

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2027 평가 재인증평가 신청대상 (재인증)
    2021-04-23 학술지명변경 외국어명 : The Journal of Korea Navigation Institute -> Journal of Advanced Navigation Technology KCI등재
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2018-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2015-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2011-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2007-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2005-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.27 0.27 0.23
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.21 0.19 0.364 0.16
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