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Driver behavior ana...
Driver behavior analysis and route recognition by Hidden Markov Models
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- Sathyanarayana, Amardeep (författare)
- University of Texas at Dallas
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- Boyraz Baykas, Pinar, 1981 (författare)
- University of Texas at Dallas
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- Hansen, John H.L. (författare)
- University of Texas at Dallas
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(creator_code:org_t)
- 2008
- 2008
- Engelska.
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Ingår i: 2008 IEEE International Conference on Vehicular Electronics and Safety. - 9781424423590
- Relaterad länk:
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this investigation, driver behavior signals are modeled using Hidden Markov Models (HMM) in two different and complementary approaches. The first approach considers isolated maneuver recognition with model concatenation to construct a generic route (bottom-to-top), whereas the second approach models the entire route as a dasiaphrasepsila and refines the HMM to discover maneuvers and parses the route using finer discovered maneuvers (top-to-bottom). By applying these two approaches, a hierarchical framework to model driver behavior signals is proposed. It is believed that using the proposed approach, driver identification and distraction detection problems can be addressed in a more systematic and mathematically sound manner. We believe that this framework and the initial results will encourage more investigations into driver behavior signal analysis and related safety systems employing a partitioned sub-module strategy.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Nyckelord
- Hidden Markov models
- Driver circuits
- Wheels
- Speech recognition
- Training
- Vehicles
- Safety
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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