Using fast classification of static and dynamic environment for improving Bayesian occupancy filter (BOF) and tracking

2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012

Volumn , Issue , 2012, Pages 656-661

  Baig, Qadeer ^a   Perrollaz, Mathias ^a   Nascimento, Jander Botelho Do ^a   Laugier, Christian ^a  

^a INRIA RHÔNE ALPES   (France)

Author keywords

BOF; FCTA; Motion Detection

Indexed keywords

BOF; FAST CLASSIFICATION; FAST MOTIONS; FCTA; MOTION DETECTION; SLAM (SIMULTANEOUS LOCALIZATION AND MAPPING); STATIC AND DYNAMIC ENVIRONMENTS; TRACKING MODULE;

CLUSTERING ALGORITHMS; MATHEMATICAL TECHNIQUES;

ROBOTICS;

EID: 84876040289     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2012.6485235     Document Type: Conference Paper

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