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Volumn , Issue , 2008, Pages 54-63

An experimental environment for optimal spatial sampling in a multi-robot system

Author keywords

Distributed sensing; Environment modelling; Non stationary gaussian processes

Indexed keywords

AMBIENT LIGHT; CARBON DIOXIDE CONCENTRATIONS; CEILING CAMERA; CONDITIONAL ENTROPY; DISTRIBUTED SENSING; ENVIRONMENT MODELLING; EXPERIMENTAL ENVIRONMENT; GAUSSIAN PROCESSES; GEO-STATISTICS; HOSPITAL ENVIRONMENT; MOBILE SENSORS; MULTI-ROBOT LOCALIZATION; MULTI-ROBOT SYSTEMS; NON-STATIONARY MODEL; OPTIMAL SAMPLING; OPTIMAL SPATIAL SAMPLING; PLANETARY EXPLORATION; REGRESSION MODEL; SAMPLING LOCATION; SCALAR MEASUREMENTS; SENSOR LOCATION; TEMPERATURE LEVEL;

EID: 84871782697     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3233/978-1-58603-887-8-54     Document Type: Conference Paper
Times cited : (6)

References (16)
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    • Higdon, D.1    Swall, J.2    Kern, J.3
  • 10
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    • G. Matheron. Kriging, or polynomial interpolation procedures? CIM transactions, LXX:240-244, 1967.
    • (1967) CIM Transactions , vol.70 , pp. 240-244
    • Matheron, G.1
  • 12
    • 33749380904 scopus 로고    scopus 로고
    • A note on sampling designs for random processes with no quadratic mean derivative
    • B. Mukherjee. A note on sampling designs for random processes with no quadratic mean derivative. Australian & New Zealand Journal of Statistics, 48(3):305-319, 2006.
    • (2006) Australian & New Zealand Journal of Statistics , vol.48 , Issue.3 , pp. 305-319
    • Mukherjee, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.