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Volumn , Issue , 2011, Pages 2411-2417

Buried utility pipeline mapping based on multiple spatial data sources: A Bayesian data fusion approach

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN DATA FUSIONS; BURIED UTILITIES; GROUND PENETRATING RADAR (GPR); HEALTH AND SAFETY; SIMULATED DATASETS; SPATIAL COMPLEXITY; SPATIAL LOCATION; UNDERGROUND UTILITIES;

EID: 84881070650     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-402     Document Type: Conference Paper
Times cited : (40)

References (13)
  • 1
    • 77955837988 scopus 로고    scopus 로고
    • Variational Bayesian data fusion ofmulti-class discrete observations with applications to cooperative human-robot estimation
    • N. Ahmed and M. Campbell. Variational Bayesian data fusion ofmulti-class discrete observations with applications to cooperative human-robot estimation. In 2010 IEEE International Conference on Robotics and Automation, pages 186-191, 2010.
    • (2010) 2010 IEEE International Conference on Robotics and Automation , pp. 186-191
    • Ahmed, N.1    Campbell, M.2
  • 3
    • 77956021625 scopus 로고    scopus 로고
    • Buried utility pipeline mapping based on street survey and ground penetrating radar
    • H. Chen and A. G. Cohn. Buried utility pipeline mapping based on street survey and ground penetrating radar. In European Conference on Artificial Intelligence, pages 987-988, 2010.
    • (2010) European Conference on Artificial Intelligence , pp. 987-988
    • Chen, H.1    Cohn, A.G.2
  • 4
    • 84866786477 scopus 로고    scopus 로고
    • Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data
    • H. Chen and A. G. Cohn. Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data. In IEEE World Congress on Computational Intelligence, pages 3367-3374, 2010.
    • (2010) IEEE World Congress on Computational Intelligence , pp. 3367-3374
    • Chen, H.1    Cohn, A.G.2
  • 5
    • 0035458249 scopus 로고    scopus 로고
    • A comparison of decision-level sensor-fusion methods for anti-personnel landmine detection
    • DOI 10.1016/S1566-2535(01)00034-3, PII S1566253501000343
    • F. Cremer, K. Schutte, J. G.M. Schavemaker, and E. den Breejen. A comparison of decision-level sensor-fusion methods for anti-personnel landmine detection. Information Fusion, 2(3):187-208, 2001. (Pubitemid 33396501)
    • (2001) Information Fusion , vol.2 , Issue.3 , pp. 187-208
    • Cremer, F.1    Schutte, K.2    Schavemaker, J.G.M.3    Den, B.E.4
  • 8
    • 23844471243 scopus 로고    scopus 로고
    • Modelling ground penetrating radar by GprMax
    • DOI 10.1016/j.conbuildmat.2005.06.007, PII S0950061805001509, Non Destructive Testing: Selected Papers from Structural and Repair 2003
    • A. Giannopoulos. Modelling ground penetrating radar by GprMax. Construction and Building Materials, 19(10):755-762, 2005. (Pubitemid 41165412)
    • (2005) Construction and Building Materials , vol.19 , Issue.10 , pp. 755-762
    • Giannopoulos, A.1
  • 9
    • 0041508633 scopus 로고    scopus 로고
    • Bayesian analysis for fusion of data from disparate imaging systems for surveillance
    • G. D. Jones, R. E. Allsop, and J. H. Gilby. Bayesian analysis for fusion of data from disparate imaging systems for surveillance. Image and Vision Computing, 21(10):843-849, 2003.
    • (2003) Image and Vision Computing , vol.21 , Issue.10 , pp. 843-849
    • Jones, G.D.1    Allsop, R.E.2    Gilby, J.H.3
  • 10
    • 0035705785 scopus 로고    scopus 로고
    • Data association in stochastic mapping using the joint compatibility test
    • DOI 10.1109/70.976019, PII S1042296X01109134
    • J. Neira and J.D. Tardós. Data association in stochastic mapping using the joint compatibility test. IEEE Transactions on Robotics and Automation, 17(6):890-897, 2001. (Pubitemid 34125086)
    • (2001) IEEE Transactions on Robotics and Automation , vol.17 , Issue.6 , pp. 890-897
    • Neira, J.1    Tardos, J.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.