Trajectory clustering for motion prediction

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2012, Pages 1547-1552

  Sung, Cynthia ^a   Feldman, Dan ^a   Rus, Daniela ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING APPROACH; DATA-DRIVEN APPROACH; DYNAMIC OBSTACLE AVOIDANCE; K-MEANS; MOTION PATTERN; MOTION PREDICTION; MOVING OBJECTS; MULTI-ROBOT SYSTEMS; POTENTIAL APPLICATIONS; REPEATED PATTERNS; TRACKING AND SURVEILLANCE; TRAJECTORY CLUSTERING; TRAJECTORY DATA;

CLUSTERING ALGORITHMS; DIGITAL STORAGE; HIDDEN MARKOV MODELS; INTELLIGENT SYSTEMS; MOTION PLANNING; ROBOTICS;

TRAJECTORIES;

EID: 84872336922     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2012.6386017     Document Type: Conference Paper

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