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Volumn 5765, Issue PART 1, 2005, Pages 85-96

Probabilistic deployment for multiple sensor systems

Author keywords

Bayesian networks; Landmine detection; Probabilistic path planning; Sensor fusion; Sensor platform deployment

Indexed keywords

ALGORITHMS; DATA PROCESSING; ELECTROMAGNETIC FIELDS; ENTROPY; GROUND PENETRATING RADAR SYSTEMS; MOTION PLANNING; PROBABILITY; SENSOR DATA FUSION;

EID: 25144445021     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.601597     Document Type: Conference Paper
Times cited : (8)

References (21)
  • 2
    • 1642556793 scopus 로고    scopus 로고
    • Using a priori data for prediction and object recognition in an autonomous mobile vehicle
    • Unmanned Ground Vehicle Technology V
    • Chris Scrapper, Ayako Takeuchi, Using A Priori Data for Prediction and Object Recognition in an Autonomous Mobile Vehicle, Unmanned Ground Vehicle Technology V. Proceedings of SPIE Vol.5083, 2003.
    • (2003) Proceedings of SPIE , vol.5083
    • Scrapper, C.1    Takeuchi, A.2
  • 4
    • 0042430203 scopus 로고    scopus 로고
    • Path planning for robotic demining: Robust sensor-based coverage of unstructured environments and probabilistic methods
    • Ercan U.Acar, Path Planning for Robotic Demining: Robust Sensor-based Coverage of Unstructured Environments and Probabilistic Methods, The Int. journal of Robotics Research, Vol.22, No.7-8, 2003.
    • (2003) The Int. Journal of Robotics Research , vol.22 , Issue.7-8
    • Acar, E.U.1
  • 5
    • 25144438612 scopus 로고    scopus 로고
    • Multisensor fusion for landmine detection by a bayesian network approach
    • July, Vienna, Austria
    • Silvia Ferrari and Alberto Vaghi, Multisensor Fusion for Landmine Detection by a Bayesian Network Approach, 3rd European Conference on Structural Control, July 2004, Vienna, Austria.
    • (2004) 3rd European Conference on Structural Control
    • Ferrari, S.1    Vaghi, A.2
  • 11
    • 0029706727 scopus 로고    scopus 로고
    • A randomized roadmap method for path and manipulation planning
    • Minneapolis, MN
    • N. M. Amato, Y. Wu, A Randomized Roadmap Method for Path and Manipulation Planning, Proc. IEEE Int. Conf. Robotics & Automation, Minneapolis, MN, 1996.
    • (1996) Proc. IEEE Int. Conf. Robotics & Automation
    • Amato, N.M.1    Wu, Y.2
  • 12
    • 0034251519 scopus 로고    scopus 로고
    • Choosing good distance and local planners for probabilistic roadmap methods
    • August
    • N. M. Amato, O. Burchan Bayazit, Choosing Good Distance and Local Planners for Probabilistic Roadmap Methods, IEEE transactions on Robotics and Automation, Vol. 16, No.4, August 2000.
    • (2000) IEEE Transactions on Robotics and Automation , vol.16 , Issue.4
    • Amato, N.M.1    Bayazit, O.B.2
  • 14
    • 0002570318 scopus 로고
    • Data fusion and sensor integration: State-of-the-art 1990s
    • Abidi and Gonzales, ed.s, Academic Press, Boston
    • R.Luo and M. Kay, Data Fusion and Sensor Integration: State-of-the-art 1990s. Data Fusion in Robotics and Machine Intelligence. Abidi and Gonzales, ed.s, page 7-136, Academic Press, Boston, 1992.
    • (1992) Data Fusion in Robotics and Machine Intelligence , pp. 7-136
    • Luo, R.1    Kay, M.2
  • 16
    • 0000119282 scopus 로고
    • The sensor management imperative
    • Chapter 10, Y. Bar-Shalom, Ed., Artech House
    • Robert Popoli, The Sensor Management Imperative, Chapter 10 in Multitarget-Multisensor Tracking: Advanced Applications, Vol. II, Y. Bar-Shalom, Ed., Artech House, 1992.
    • (1992) Multitarget-multisensor Tracking: Advanced Applications , vol.2
    • Popoli, R.1
  • 18
    • 25144470204 scopus 로고    scopus 로고
    • U.S. DoD
    • Naval Explosive Ordnance Disposal Technology Division, Ordata Online, U.S. DoD, 2004.
    • (2004) Ordata Online


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.