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Volumn 4095 LNAI, Issue , 2006, Pages 819-830

Behavioral analysis of mobile robot trajectories using a point distribution model

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTER SIMULATION; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 33749685590     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840541_67     Document Type: Conference Paper
Times cited : (6)

References (17)
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    • Hayes, A.T.1    Martinoli, A.2    Goodman, R.M.3
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    • Representation and synthesis of behaviour using gaussian mixtures
    • Nail Johnson and David Hogg. Representation and synthesis of behaviour using gaussian mixtures. Image and Vision Computing, 20:889-894, 2002.
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    • Johnson, N.1    Hogg, D.2
  • 9
    • 13944279424 scopus 로고    scopus 로고
    • Webots: Professional mobile robot simulation
    • Olivier Michel. Webots: Professional mobile robot simulation. Journal of Advanced Robotics Systems, 1(1):29-42, 2004.
    • (2004) Journal of Advanced Robotics Systems , vol.1 , Issue.1 , pp. 29-42
    • Michel, O.1
  • 10
    • 0038344792 scopus 로고    scopus 로고
    • Quantitative analysis of robot-environment interaction towards "scientific mobile robotics"
    • Ulrich Nehmzov. Quantitative analysis of robot-environment interaction towards "scientific mobile robotics". Robotics and Autonomous Systems, 44:55-68, 2003.
    • (2003) Robotics and Autonomous Systems , vol.44 , pp. 55-68
    • Nehmzov, U.1
  • 11
    • 33749672739 scopus 로고    scopus 로고
    • Novelty detection in video surveillance using hierarchical neural networks
    • J. Owens, A. Hunter, and E. Fletcher. Novelty detection in video surveillance using hierarchical neural networks. Lecture Notes in Computer Science, 2415:1249-1254, 2002.
    • (2002) Lecture Notes in Computer Science , vol.2415 , pp. 1249-1254
    • Owens, J.1    Hunter, A.2    Fletcher, E.3
  • 12
    • 11244309239 scopus 로고    scopus 로고
    • Learning object trajectory patterns by spectral clustering
    • IEEE, June
    • Fatih Porikli. Learning object trajectory patterns by spectral clustering, volume 2, pages 1171-1174. IEEE Conference on Multimedia and Expo, IEEE, June 2004.
    • (2004) IEEE Conference on Multimedia and Expo , vol.2 , pp. 1171-1174
    • Porikli, F.1
  • 15
    • 27544438602 scopus 로고    scopus 로고
    • Virtual environment trajectory analysis: A basis for navigational assistance and scene adaptivity
    • Jul
    • C. Sas, G. O'Hare, and R. Reilly. Virtual environment trajectory analysis: a basis for navigational assistance and scene adaptivity. Future Generation Computer Systems, 21 (7):1157-1166, Jul 2005
    • (2005) Future Generation Computer Systems , vol.21 , Issue.7 , pp. 1157-1166
    • Sas, C.1    O'Hare, G.2    Reilly, R.3
  • 16
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    • Schöner, G.1    Dose, M.2    Engels, C.3
  • 17
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    • On quantitative performance measures of robot behaviour
    • Thim Smithers. On quantitative performance measures of robot behaviour. Robotics and Autonomous Systems, 15:107-133, 1995.
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    • Smithers, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.