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      비평지 및 먼지 환경에서 1차원 가상힘장 알고리즘의 실험적 검증 = Experimental Verification of 1D Virtual Force Field Algorithm on Uneven and Dusty Environment

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      https://www.riss.kr/link?id=A103784023

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      다국어 초록 (Multilingual Abstract)

      In this paper, we deal with the experimental verification of 1D virtual force field algorithm based reflexive local path planning on uneven and dusty environment. The existing obstacle detection method on uneven and dusty environment and 1D virtual fo...

      In this paper, we deal with the experimental verification of 1D virtual force field algorithm based reflexive local path planning on uneven and dusty environment. The existing obstacle detection method on uneven and dusty environment and 1D virtual force field based reflexive local path planning algorithm simply are introduced. Although the 1D virtual force field algorithm is verified by various simulations, additional efforts are needed to verify this algorithm in the real-world. The introduced methods are combined with each other, installed to real mobile platforms and verified by various real experiments.

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      참고문헌 (Reference)

      1 Ulrich, "VFH* : Local Obstacle Avoidance with Look-Ahead Verification" 3 : 572-577, 2000

      2 Veelaert, "Ultrasonic Potential Field Sensor for Obstacle Avoidance" 15 (15): 774-779, 1999

      3 Zhang, "UGV Developments in 2020-2030 in Terms of Technologies" 2016

      4 M. Hebert, "Thorpe, and A" Autonomous Navigation Research at Carnegie Mellon, "Springer Science and Business Media 2012

      5 J. Borenstein, "The Vector Field Histogram-Fast Obstacle Avoidance for Mobile Robots" 7 (7): 278-288, 1991

      6 Koren, "Potential Field Methods and Their Limitations for Mobile Robot Navigation" 1398-1404, 1991

      7 T. Choe, "Obstacle Detection for Unmanned Ground Vehicle on Uneven and Dusty Environment" 2015

      8 Kazem, "Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance" 2 (2): 166-173, 2010

      9 Kim, "Local Path Planning using a New Artificial Potential Function Composition and its Analytical Design Guidelines" 20 (20): 115-135, 2006

      10 Moghadam, "Improving Path Planning and Mapping based on Stereo Vision and Lidar" 384-389, 2008

      1 Ulrich, "VFH* : Local Obstacle Avoidance with Look-Ahead Verification" 3 : 572-577, 2000

      2 Veelaert, "Ultrasonic Potential Field Sensor for Obstacle Avoidance" 15 (15): 774-779, 1999

      3 Zhang, "UGV Developments in 2020-2030 in Terms of Technologies" 2016

      4 M. Hebert, "Thorpe, and A" Autonomous Navigation Research at Carnegie Mellon, "Springer Science and Business Media 2012

      5 J. Borenstein, "The Vector Field Histogram-Fast Obstacle Avoidance for Mobile Robots" 7 (7): 278-288, 1991

      6 Koren, "Potential Field Methods and Their Limitations for Mobile Robot Navigation" 1398-1404, 1991

      7 T. Choe, "Obstacle Detection for Unmanned Ground Vehicle on Uneven and Dusty Environment" 2015

      8 Kazem, "Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance" 2 (2): 166-173, 2010

      9 Kim, "Local Path Planning using a New Artificial Potential Function Composition and its Analytical Design Guidelines" 20 (20): 115-135, 2006

      10 Moghadam, "Improving Path Planning and Mapping based on Stereo Vision and Lidar" 384-389, 2008

      11 Manz, "Detection and Tracking of Road Networks in Rural Terrain by Fusing Vision and Lidar" 4562 (4562): 2011-,

      12 C. Berger, "Autonomous Driving-5Years After the Urban Challenge : The Anticipatory Vehicle as a Cyber-Physical System" 789-798, 2012

      13 K. Bimbraw, "Autonomous Cars : Past, Present and Future a Review of the Developments in the Last Century, the Present Scenario and the Expected Future of Autonomous Vehicle Technology" 1 : 191-198, 2015

      14 J. Markoff, "At High Speed, on the Road to a Driverless Future" 2013

      15 Shang, "A Novel Setup Method of 3D Lidar for Negative Obstacle Detection in Field Environment" 1436 (1436): 2014-,

      16 T. Choe, "1D Virtual Force Field Algorithm for Reflexive Local Path Planning of Mobile Robots" 50 (50): 1429-1430, 2014

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재후보2차) KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.13 0.13 0.1
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.09 0.09 0.244 0.04
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