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Hierarchical Sample-Based Joint Probabilistic Data Association Filter for Following Human Legs Using a Mobile Robot in a Cluttered Environment
Yoonchang Sung,
Woo Jin Chung
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Article
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peer-review
27
Citations (Scopus)
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Dive into the research topics of 'Hierarchical Sample-Based Joint Probabilistic Data Association Filter for Following Human Legs Using a Mobile Robot in a Cluttered Environment'. Together they form a unique fingerprint.
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Keyphrases
Mobile Robot
100%
Sampling Methods
100%
Human Leg
100%
Cluttered Environment
100%
Probabilistic Data Association Filter
100%
Laser Range Finder
50%
Two-level
25%
Real Environment
25%
Challenging Issues
25%
Tracking Performance
25%
Loss Rate
25%
Mobile Service Robots
25%
Interdependence
25%
General Techniques
25%
Human Following
25%
Hierarchical Framework
25%
Human Tracking
25%
Multiple Persons
25%
Autonomous Navigation
25%
Robot Application
25%
Leg Position
25%
Target Loss
25%
Human Target
25%
Bayesian Filtering
25%
Engineering
Joints (Structural Components)
100%
Mobile Robot
100%
Range Finder
50%
Service Robot
25%
Rate Loss
25%
Interdependence
25%
Robot Applications
25%
Bayesian Filtering
25%