Contextual occupancy maps using gaussian processes

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2009, Pages 1054-1060

  O'callaghan, Simon ^a   Ramos, Fabio T ^a   Durrant Whyte, Hugh ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BUILDING OCCUPANCY; CLASSIFICATION TASKS; COVARIANCE FUNCTION; DATA SETS; GAUSSIAN PROCESSES; MAPPING TECHNIQUES; NON-PARAMETRIC BAYESIAN; NONSTATIONARY; OCCUPANCY GRIDS; OCCUPANCY MAPS; REAL WORLD ENVIRONMENTS; SENSOR READINGS; SIMULATED DATA; STATISTICAL MODELING; TRAINED NEURAL NETWORKS; URBAN ENVIRONMENTS;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING ALGORITHMS; MULTI AGENT SYSTEMS; ROBOTICS; SENSOR NETWORKS; SENSORS;

ROBOTS;

EID: 70350417128     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2009.5152754     Document Type: Conference Paper

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