연구동향 분석
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A Study on Multi-robot Formation Control Using Omni-directional Vision SLAM Based on Fisheye Image : 어안 이미지를 이용한 전방향 영상 SLAM 기반의 멀티로봇 포메이션 제어에 관한 연구

최윤원 2015년

논문상세정보
인용/피인용
' A Study on Multi-robot Formation Control Using Omni-directional Vision SLAM Based on Fisheye Image : 어안 이미지를 이용한 전방향 영상 SLAM 기반의 멀티로봇 포메이션 제어에 관한 연구' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • avoidance
  • formation control
  • omni-directional vision slam
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
62 0

0.0%

' A Study on Multi-robot Formation Control Using Omni-directional Vision SLAM Based on Fisheye Image : 어안 이미지를 이용한 전방향 영상 SLAM 기반의 멀티로봇 포메이션 제어에 관한 연구' 의 참고문헌

  • http://www.quora.com/Why-does-the-spectrum-of-colors-visible-to-humans-form-a-loop-i-e-a-color-wheel
  • http://www.ptgrey.com/ladybug2-360-degree-firewire-spherical-camera-systems
  • http://fira.net/contents/sub03/sub03_3.asp
  • http://blog.naver.com/yunuri1012?Redirect=Log&logNo=80122328631&from=postView
  • Y. Yagi, K. Imai, K. Tsuji, M. Yachida, Iconic Memory-basedOmnidirectional Route Panorama Navigation, IEEE Transactions onPattern Analysis and Machine Intelligence, vol. 27, no. 1, pp. 78?87,Jan. 2005.
  • Y. Yagi, Omni-directional Sensing and its Applications, IEICETransaction on Information and Systems, vol. E82-D, no. 3, pp. 568?579, Mar. 1999.
  • Y. W. Choi, K. K. Kwon, S. I. Lee, J. W. Choi, and S. G. Lee, Multi-robot Mapping Using Omnidirectional-vision SLAM Based onFisheye Images, ETRI Journal, vol. 36, no. 6, pp. 70?77, Dec 2014.
  • Y. Touahmi, N. Burlutskiy, K. W. Lee, and B. H. Lee, CongestionAvoidance for Multiple Microrobots Using the Behavior of FishSchools, 2011 IEEE/SICE International Symposium on SystemIntegration (SII), vol. 9, pp. 1?12, Sep. 2012.
  • Y. J. Han and T. H. Park, Localization of a Mobile Robot UsingMultiple Ceiling Lights , Journal of Institute of Control, Robotics andSystems, vol. 19, no. 4, pp. 379-384, Apr. 2013
  • Y. Dai and S. G. Lee, Formation Control of Mobile Robots withObstacle Avoidance Based on GOACM Using Onboard Sensors ,International Journal of Control, Automation and Systems, vol. 12, no.5, pp. 1077-1089, Oct. 2014.
  • W. Y. Jeong and K. M. Lee, CV-SLAM: A New Ceiling VisionBased SLAM Technique, 2005 IEEE/RSJ International Conference onIntelligent Robots and Systems (IROS 2005), pp. 3195?3200, Aug.2005.
  • W. J. Kim and C. G. Kim, Text Region Extraction from VideosUsing the Harris Corner Detector, Journal of KIISE: Software andApplications, vol. 34, no. 7, pp. 646-654, Jul. 2007.
  • V. N. Peri and S.K. Nayar, Generation of Perspective and PanoramicVideo from Omnidirectional Video, DARPA Image UnderstandingWorkshop, May 1997.
  • T. Goedeme, M. Nuttin, T. Tuytelaars, and L.V. Gool, OmnidirectionalVision Based Topological Navigation, International Journal ofComputer Vision, vol. 74, no. 3, pp. 219?236, Sep. 2007.
  • T. Fukuda, S. Ito, F. Arai, and Y. Yokoyama, Navigation SystemBased on Ceiling Landmark Recognition for Autonomous MobileRobot-Landmark Detection Based on Fuzzy Template Matching (FTM), 1995 IEEE/RSJ International Conference on Intelligent Robots andSystems, vol. 2, pp. 150?155, Aug. 1995.
  • T. E. Boult, R. Micheals, X. Gao, P. Lewis, C. Power, W. Yin, andA. Erkan, "Frame-Rate Omnidirectional Surveillance and Tracking ofCamouflaged and Occluded Targets, 1999 Second IEEE Workshop onVisual Surveillance (VS'99), pp. 48?55, Jul. 1999.
  • T. D. Nguyen, J. H. Kim, S. H. Kim, H. J. Yang, G. S. Lee, J. Y.Chang, and N. W. Eum, A Novel Interaction Method for MobileDevices Using Low Complexity Global Motion Estimation, ETRIJournal, vol. 34, no. 5, pp. 734?742, Oct. 2012.
  • T. Balch and R.C. Arkin, Behavior-based Formation Control forMultirobot Teams, IEEE Transactions on Robotics and Automation,vol.14, no. 3, pp.926-939, Jun. 1998.
  • S. W. Noh, N. Y. Ko, and T. G. Kim, "Implementing AutonomousNavigation of a Mobile Robot Integrating Localization, ObstacleAvoidance and Path Planning", The Journal of The Korea Institute ofElectronic Communication Science, vol. 6, no. 1, pp. 148-156, Feb.2011.
  • S. S. Lin and R. Bajcsy, High Resolution CatadioptricOmni-Directional Stereo Sensor for Robot Vision , 2003 IEEEInternational Conference on Robotics and Automation, vol. 2, pp.1694-1699, Sep. 2003
  • S. R. Moon, B. S. Park, Y. H. Choi, and J. B. Park, Leader-FollowingApproach Based Adaptive Formation Control for Mobile Robots withUnknown Parameters, Transaction on Korean Institute ElectronicEngineering, vol. 60, no. 8, pp. 1592?1598, Aug. 2011.
  • S. M. Kim, J. H. Lee, S. G. Roh, and S. Y. Park, The Study ofPre-processing Algorithm for Improving Efficiency of Optical FlowMethod on Ultrasound Image, Journal of IEEK, vol. 47, no. 5, pp.24-32, Sep. 2010.
  • S. Jo, H. Choi, and E. Kim, Ceiling Vision Based SLAM ApproachUsing Sensor Fusion of Sonar Sensor and Monocular Camera , 201212th International Conference on Control, Automation and Systems(ICCAS), pp. 1461-1464, Oct. 2012
  • S. J. Yoon, W. S. Han, S. K. Min, and K. S. Roh, GlobalLocalization of Mobile Robots Using Omni-directional Images, Transaction on KSME, vol. 31, no. 4, pp. 517?524, Apr. 2007.
  • R. L. Graham, An Efficient Algorithm for Determining the ConvexHull of a Finite Planar Set, Information processing letters. vol. 1, no.4, pp. 132?133, 1972.
  • R. G. Simmons, The Curvature-Velocity Method for Local ObstacleAvoidance, 1996 IEEE International Conference on Robotics andAutomation, pp. 3375-3382, Apr. 1996.
  • O. Khatib, "Real-time Obstacle Avoidance for Manipulators and MobileRobots," The International Journal of Robotics Research, vol. 5, no. 1,pp. 90-98, Jan. 1986.
  • Nanophotonics company (http://cafe.daum.net/FisheyeLens &http://cafe.daum.net/pCAM)
  • N. E. Leonard and E. Fiorelli, Virtual Leaders, Artificial Potentialsand Coordinated Control of Groups, Proceedings of the 40th IEEEConference on Decision and Control, pp. 2968-2973, Dec. 2001.
  • N. Burlutskiy, Y. Touahmi, and B. H. Lee, Power Efficient FormationConfiguration for Centralized Leader-Follower AUVs Control Journalof Marine Science and Technology, vol. 17, no. 3, pp. 315-329, Sep.2012.
  • M. S. Ki, W. J. Kim, and K. H. Kim, "Multiview Video ProcessingTechnique Trends", ETRI Electronics and Telecommunications Trends.vol. 1106, Jul. 2003.
  • L. Chaimowicz, B. Grocholsky, J.F. Keller, V. Kumar, and C.J. Taylor Experiments in Multirobot Air-ground Coordination, 2004 IEEEInternational Conference on Robotics and Automation (ICRA), vol. 4,pp. 4053?4058, Apr. 2004.
  • K. Miyamoto, Fish Eye Lens, Journal of the Optical Society ofAmerica, vol. 54, no. 8, pp. 1060?1061, Aug. 1964.
  • K. Kanjanawanishkul, Formation Control of Mobile Robots : Survey ,UBU Engineering Journal, vol. 4, pp. 50?64, 2005.
  • J. Shao, G. Xie, J. Y u, and L, Wang, Leader-following FormationControl of Multiple Mobile Robots, Proceedings of the 2005 IEEEInternational Symposium on Intelligent Control Limassol, Cyprus, June,2005
  • J. R. Kim, M. S. Lim, and J. H. Lim, Omni Camera Vision-basedLocalization for Mobile Robots Navigation Using Omni-directionalImages , Journal of Institute of Control, Robotics and Systems, vol. 17,no. 3, pp. 206?210, Oct. 2011.
  • J. H. Kim, S. H. Kim, G. J. Jang, and I. S. Kweon, SimultaneousLocalization and Mapping Using Single Camera Catadioptric StereoSystem , The 1st Korea Robotics Society Conference on AdvancedIntelligent Robots, vol. 1, Jun. 2006.
  • J. H. Kim, J. K. Ahn, and C. S. Kim, An Object Tracking SystemUsing an Omni-directional Camera , 2008 IEEK Summer Conference,vol. 31, no. 1, Jun. 2008
  • J. Gong, Y. Duan, Y. Man, and G. Xiong, "VPH+:An Enhanced VectorPolar Histogram Method for Mobile Robot Obstacle Avoidance," 2007International Conference on Mechatronics and Automation (ICMA), pp.2784-2788, 2007.
  • J. Gluckman, S. K. Nayar, and K. J. Thoresz, Real-timeOmnidirectional and Panoramic Stereo , Proceedings of the 1998DARPA Image Understanding Workshop, vol. 1, 1998.
  • J. Gaspar, N. Winters, and J. Santos-Victor, Vision-based Navigationand Environmental Representations with an Omnidirectional Camera, IEEE Transactions on Robotics and Automation, vol. 16, no. 6, pp. 890?898, Dec. 2000.
  • J. Chomman, M. Saad, and F. Mnif, Formation Path FollowingControl of Unicycle-type Mobile Robots , IEEE International Conferenceon Robotics and Automation, 2008, pp. 1966-1972, May 2008.
  • J. C. Jeong, H. Shin, J. Chang, E. G. Lim, S. M. Choi, K. J. Yoon,and J. I. Cho, High-quality Stereo Depth Map Generation UsingInfrared Pattern Projection, ETRI Journal, vol. 35, no. 6, pp. 1011?1020, Dec. 2013.
  • J. Boernstein and Y. Koren, "The Vector Field Histogram Fast ObstacleAvoidance for Mobile Robots," IEEE Transactions on Robotics andAutomation, vol. 7, no. 3, pp. 278-288, Jun. 1991.
  • I. Mas, C. Kitts, and R. Lee, Model-based Nonlinear Cluster SpaceControl of Mobile Robot Formations , Multi-Robot Systems, Trends andDevelopment, pp. 53-70, Jan. 2011.
  • H. Tao, H.S. Sawhney, and R. Kumar, Object Tracking with BayesianEstimation of Dynamic Layer Representations, IEEE Transactions onPattern Analysis and Machine Intelligence, vol. 24, no. 1, pp. 75?89,Jan. 2002.
  • H. Takashi, Introduction to Image Processing of Remote Sensing:Remote Sensing Image Analysis and Classification ApplicationTechnology , The International Techno Information Research Institute,Daejeon, Korea, 2005
  • H. J. Sohn and B. K. Kim, An Efficient Localization Algorithm Basedon Vector Matching for Mobile Robots Using Laser Range Finders, Journal of Intelligent and Robotic Systems, vol. 51, no. 4, pp. 461?488, 2008.
  • H. D. Kang and K. H. Jo, Localization of 3D Spatial Informationfrom Single Omni-directional Image , Journal of Institute of Control,Robotics and Systems, vol. 12, no. 7, pp. 686?692, Jul. 2006.
  • H Wang, H Yu, and L Kong, Ceiling Light Landmarks BasedLocalization and Motion Control for a Mobile Robot , 2007 IEEEInternational Conference on Networking, Sensing and Control, pp.285-290, Apr. 2007.
  • H Chen, D Sun, and J Yang, Global Localization of MultirobotFormations Using Ceiling Vision SLAM Strategy , Mechatronics, vol.19, no. 5, pp. 617?628, Aug. 2009.
  • G. Tong, Z. Wu, N. Weng, and W. Hou, An Omni-directionalvSLAM Based on Spherical Camera Model and 3D Modeling, 201210th World Congress on Intelligent Control and Automation (WCICA),pp. 4551?4556, Jul. 2012.
  • G. H. Eoh, J. D. Jeon, and J. S. Choi, Multi-robot CooperativeFormation for Overweight Object Transportation, 2011 IEEE/SICEInternational Symposium on System Integration (SII), 2011, pp. 726?731, Dec. 20?22.
  • E. Shi, T. Cai, and C. He, "Study of the New Method for ImprovingArtificial Potential Field in Mobile Robot Obstacle Avoidance," 2007IEEE International Conference on Automation and Logistics, pp.282-286, 2007.
  • B. D. O. Anderson, C. Yu, S. Dasgupta, and A. S. Morse, Control ofa Three-coleader Formation in the Plane , Systems & Control Letters,vol. 56, no. 9-10, pp. 573-578, 2007.
  • A. Basu and S. Licardie, Alternative Models for Fish-Eye Lenses, Pattern Recognition Letters, vol. 16, no. 4, pp. 433?441, Apr. 1995.
  • A. Bakowski, and G.A. Jones, Video Surveillance Tracking UsingColor Region Adjacency Graphs, International Conference on ImageProcessing and its Applications, vol. 2, no. 465, pp. 794?798, 1999.
  • A. Ascani, E. Frontoni, A. Mancini, and P. Zingaretti, RobotLocalization Using Omnidirectional Vision in Large and DynamicOutdoor Environments , IEEE/ASME International Conference onMechtronic and Embedded Systems and Applications, pp. 576-581, Oct.2008