Prediction of Next Contextual Changing Point of Driving Behavior Using Unsupervised Bayesian Double Articulation Analyzer - researchr publication related

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Shogo Nagasaka, Tadahiro Taniguchi, Kentarou Hitomi, Kazuhito Takenaka, Takashi Bando. Prediction of Next Contextual Changing Point of Driving Behavior Using Unsupervised Bayesian Double Articulation Analyzer. In 2014 IEEE Intelligent Vehicles Symposium Proceedings, Dearborn, MI, USA, June 8-11, 2014. pages 924-931, IEEE, 2014. [doi]

The following publications are possibly variants of this publication:

Semiotic prediction of driving behavior using unsupervised double articulation analyzerTadahiro Taniguchi, Shogo Nagasaka, Kentarou Hitomi, Naiwala P. Chandrasiri, Takashi Bando. ivs 2012: 849-854 [doi]

Sequence Prediction of Driving Behavior Using Double Articulation AnalyzerTadahiro Taniguchi, Shogo Nagasaka, Kentarou Hitomi, Naiwala P. Chandrasiri, Takashi Bando, Kazuhito Takenaka. tsmc, 46(9):1300-1313, 2016. [doi]

Contextual scene segmentation of driving behavior based on double articulation analyzerKazuhito Takenaka, Takashi Bando, Shogo Nagasaka, Tadahiro Taniguchi, Kentarou Hitomi. iros 2012: 4847-4852 [doi]

Accelerated Nonparametric Bayesian Double Articulation Analyzer for Unsupervised Word DiscoveryRyo Ozaki, Tadahiro Taniguchi. icdl-epirob 2018: 238-244 [doi]

Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing PointsTadahiro Taniguchi, Shogo Nagasaka, Kentarou Hitomi, Kazuhito Takenaka, Takashi Bando. tits, 16(4):1746-1760, 2015. [doi]

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