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Volumn 11, Issue 4, 2011, Pages 4385-4400

A new HLA-based distributed control architecture for agricultural teams of robots in hybrid applications with real and simulated devices or environments

Author keywords

Agricultural robotics; Control architecture; HLA based system; Hybrid systems; Improved simulation system

Indexed keywords

AGRICULTURAL ENVIRONMENTS; AGRICULTURAL ROBOTICS; CONTROL ARCHITECTURE; DISTRIBUTED CONTROL ARCHITECTURES; HLA-BASED SYSTEM; IMPLICIT COMMUNICATIONS; JAVA AGENT DEVELOPMENT FRAMEWORK; SIMULATION SYSTEMS;

EID: 84871095034     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s110404385     Document Type: Article
Times cited : (18)

References (20)
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    • Astrand, B.1    Baerveldt, A.J.2
  • 2
    • 0036843203 scopus 로고    scopus 로고
    • Automation and Emerging Technologies: Weed-Plant Discrimination by Machine Vision and Artificial Neural Network
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    • Cho, S.I.1    Lee, D.S.2    Jeong, J.Y.3
  • 3
    • 0036775437 scopus 로고    scopus 로고
    • Automation and Emerging Technologies: Robotic Weed Control using Machine Vision
    • Blasco, J.; Aleixos, N.; Roger, J.M.; Rabatel, G.; Molto, E. Automation and Emerging Technologies: Robotic Weed Control using Machine Vision. Biosyst. Eng. 2002, 83, 149-157.
    • (2002) Biosyst. Eng , vol.83 , pp. 149-157
    • Blasco, J.1    Aleixos, N.2    Roger, J.M.3    Rabatel, G.4    Molto, E.5
  • 4
    • 69949147192 scopus 로고    scopus 로고
    • Using Fast Fourier Transform for Weed Detection in Corn Fields
    • In, Man and Cybernetics, Singapore, 12-15 October
    • Nejati, H.; Azimifar, Z.; Zamani, M. Using Fast Fourier Transform for Weed Detection in Corn Fields. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Singapore, 12-15 October 2008; pp. 1215-1219.
    • (2008) Proceedings of IEEE International Conference on Systems , pp. 1215-1219
    • Nejati, H.1    Azimifar, Z.2    Zamani, M.3
  • 5
    • 77956615940 scopus 로고    scopus 로고
    • Classification of Weed Species Using Artificial Neural Networks Based on Color Leaf Texture Feature
    • In, Germany
    • Li, Z.; An, Q.; Ji, C. Classification of Weed Species Using Artificial Neural Networks Based on Color Leaf Texture Feature. In Computer and Computing Technologies in Agriculture II; Springer: Berlin, Germany, 2009; Volume 2, pp. 1217-1225.
    • (2009) Computer and Computing Technologies in Agriculture II; Springer: Berlin , vol.2 , pp. 1217-1225
    • Li, Z.1    An, Q.2    Ji, C.3
  • 6
    • 84871076061 scopus 로고    scopus 로고
    • (accessed on 15 February 2011). Available online
    • Conley, K. ROS Documentation-Installation. Available online: http://www.ros.org/wiki/ROS/Installation (accessed on 15 February 2011).
    • ROS Documentation-Installation
    • Conley, K.1
  • 8
    • 34248574979 scopus 로고    scopus 로고
    • A Compact Software Framework for Distributed Real-Time Computing
    • In, Valencia, Spain, 9-11 November
    • Wulf, O.; Kiszka, J.; Wagner, B. A Compact Software Framework for Distributed Real-Time Computing. In Proceedings of the Fifth Real-Time Linux Workshop, Valencia, Spain, 9-11 November 2003.
    • (2003) Proceedings of the Fifth Real-Time Linux Workshop
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  • 9
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    • The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems
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    • Gerkey, B.; Vaughan, R.; Howard, A. The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems. In Proceedings of International Conference on Advanced Robotics, Coimbra, Portugal, 30 June-3 July 2003; pp. 317-323.
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    • Gerkey, B.1    Vaughan, R.2    Howard, A.3
  • 14
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    • An Evaluation of The High Level Architecture (HLA) as a Framework for NASA Modeling and Simulation
    • In, Greenbelt, MD, USA, November
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    • Reid, M.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.