Modeling and decision making in spatio-temporal processes for environmental surveillance

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2010, Pages 5490-5497

  Singh, Amarjeet ^a   Ramos, Fabio ^b   Durrant Whyte, Hugh ^b   Kaiser, William J ^c  

^a INDRAPRASTHA INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b UNIVERSITY OF SYDNEY   (Australia)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS SPACES; COVARIANCE FUNCTION; DATA SETS; EFFICIENT MONITORING; EFFICIENT PATH PLANNING; EMPIRICAL EVALUATIONS; ENVIRONMENTAL SURVEILLANCE; GAUSSIAN PROCESSES; GENERIC APPROACH; GP MODELS; INFORMATION GAIN; MACHINE-LEARNING; MECHANICAL SYSTEMS; MODEL COMPLEXES; NON-PARAMETRIC BAYESIAN; ROBOTIC SENSOR; ROBOTIC SYSTEMS; SPATIAL DYNAMICS; SPATIO-TEMPORAL; SPATIO-TEMPORAL DYNAMICS; TEMPORAL COVERAGE; TIME DEPENDENCY;

DECISION MAKING; ROBOTS;

ROBOTICS;

EID: 77955818310     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2010.5509934     Document Type: Conference Paper

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