Statistical‐based approach for driving style recognition using Bayesian probability with kernel density estimation
dc.contributor.author | Han, Wei | |
dc.contributor.author | Wang, Wenshuo | |
dc.contributor.author | Li, Xiaohan | |
dc.contributor.author | Xi, Junqiang | |
dc.date.accessioned | 2021-02-04T21:55:00Z | |
dc.date.available | 2021-02-04T21:55:00Z | |
dc.date.issued | 2019-01 | |
dc.identifier.citation | Han, Wei; Wang, Wenshuo; Li, Xiaohan; Xi, Junqiang (2019). "Statistical‐based approach for driving style recognition using Bayesian probability with kernel density estimation." IET Intelligent Transport Systems 13(1): 22-30. | |
dc.identifier.issn | 1751-956X | |
dc.identifier.issn | 1751-9578 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/166283 | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.publisher | The Institution of Engineering and Technology | |
dc.subject.other | (C6130) Data handling techniques | |
dc.subject.other | Euclidean distance‐based method | |
dc.subject.other | low computational cost | |
dc.subject.other | feature vector | |
dc.subject.other | driving style classification | |
dc.subject.other | cross‐validation method | |
dc.subject.other | fuzzy logic method | |
dc.subject.other | FL method | |
dc.subject.other | (C1140Z) Other topics in statistics | |
dc.subject.other | (C7445) Traffic engineering computing | |
dc.subject.other | statistical analysis | |
dc.subject.other | feature extraction | |
dc.subject.other | probability | |
dc.subject.other | Bayes methods | |
dc.subject.other | estimation theory | |
dc.subject.other | road safety | |
dc.subject.other | driver information systems | |
dc.subject.other | pattern classification | |
dc.subject.other | statistical‐based approach | |
dc.subject.other | driving style recognition | |
dc.subject.other | Bayesian probability | |
dc.subject.other | eco‐driving | |
dc.subject.other | road safety | |
dc.subject.other | intelligent vehicle control | |
dc.subject.other | statistical‐based recognition method | |
dc.subject.other | driver behaviour uncertainty | |
dc.subject.other | discriminative feature extraction | |
dc.subject.other | conditional kernel density function | |
dc.subject.other | path‐following behaviour characterization | |
dc.subject.other | posterior probability | |
dc.subject.other | full Bayesian theory | |
dc.title | Statistical‐based approach for driving style recognition using Bayesian probability with kernel density estimation | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Computer Science | |
dc.subject.hlbtoplevel | Engineering | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/166283/1/itr2bf00581.pdf | |
dc.identifier.doi | 10.1049/iet-its.2017.0379 | |
dc.identifier.doi | https://dx.doi.org/10.7302/206 | |
dc.identifier.source | IET Intelligent Transport Systems | |
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dc.working.doi | 10.7302/206 | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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