Using a hyper-ellipsoid clustering Kohonen for autonomous mobile robot map building, place recognition and motion planning

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 3, Issue , 1997, Pages 1699-1704

  Janet, J A ^a   Scoggins, S M ^a   White, M W ^a   Sutton, J C ^a   Grant, E ^a   Snyder, W E ^a  

^a North Carolina State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS MOBILE ROBOT; EUCLIDEAN DISTANCE; GRID-BASED APPROACH; KOHONEN NEURAL NETWORKS; MAHALANOBIS DISTANCES; PATTERN RECOGNITION PROBLEMS; STATISTICAL PROPERTIES; STOCHASTIC MEASUREMENT;

ALGORITHMS; NEURAL NETWORKS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SONAR; LEARNING ALGORITHMS; MOBILE ROBOTS; MOTION PLANNING; PATTERN RECOGNITION SYSTEMS; RANDOM PROCESSES; ROBOT LEARNING; SENSOR DATA FUSION;

MOTION PLANNING; NEURAL NETWORKS;

AUTONOMOUS MOBILE ROBOT MAP BUILDING; HYPERELLIPSOID CLUSTERING (HEC) KOHONEN; MAHALANOBIS DISTANCE; PRINCIPAL COMPONENT ANALYSIS (PCA);

EID: 0030687084     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.614151     Document Type: Conference Paper

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