Learning and inferring transportation routines

DOI10.1016/j.artint.2007.01.006zbMath1168.68474OpenAlexW206739251MaRDI QIDQ1028913

Donald J. Patterson, Dieter Fox, Lin Liao, Henry A. Kautz

Publication date: 9 July 2009

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2007.01.006

zbMATH Keywords

novelty detectionhierarchical Markov modellocation trackingactivity recognitionRao-Blackwellized particle filters

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (4)

Sequential plan recognition: an iterative approach to disambiguating between hypotheses ⋮ Trajectory Recognition Based on Asynchronous Hidden Markov Model ⋮ Robot introspection through learned hidden Markov models ⋮ Identifying locations from geospatial trajectories

Uses Software

• FastSLAM

Cites Work

• Sequential Monte Carlo Methods in Practice
• Hierarchical Conditional Random Fields for GPS-Based Activity Recognition
• Hidden Markov Models for Speech Recognition
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