Scipediacontent: Scipediacontent moved page Draft Content 946800685 to Krishnamurthy et al 2016a

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Scipediacontent moved page Draft Content 946800685 to Krishnamurthy et al 2016a

Scipediacontent: Created page with " == Abstract == The authors present a cyber-physical systems study on the estimation of driver behavior in autonomous vehicles and vehicle safety systems. Extending upon prev..."

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Created page with " == Abstract == The authors present a cyber-physical systems study on the estimation of driver behavior in autonomous vehicles and vehicle safety systems. Extending upon prev..."

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== Abstract ==

The authors present a cyber-physical systems study on the estimation of driver behavior in autonomous vehicles and vehicle safety systems. Extending upon previous work, the approach described is suitable for the long term estimation and tracking of autonomous vehicle behavior. The proposed system makes use of a previously defined Hybrid State System and Hidden Markov Model (HSS+HMM) system which has provided good results for driver behavior estimation. The HSS+HMM system utilizes the hybrid characteristics of decision-behavior coupling of many systems such as the driver and the vehicle, uses Kalman Filter estimates of observable parameters to track the instantaneous continuous state, and estimates the most likely driver state. The HSS+HMM system is encompassed in a HSS structure and inter-system connectivity is determined by using Signal Processing and Pattern Recognition techniques. The proposed method is suitable for scenarios that involve unknown decisions of other individuals, such as lane changes or intersection precedence/access. The long term driver behavior estimation system involves an extended HSS+HMM structure that is capable of including external information in the estimation process. Through the grafting and pruning of metastates, the HSS+HMM system can be dynamically updated to best represent driver choices given external information. Three application examples are also provided to elucidate the theoretical system.

Comment: 10 page

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_946800685-beopen91-8466-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1607.03189 http://arxiv.org/abs/1607.03189] under the license https://creativecommons.org/licenses/by

* [http://downloads.hindawi.com/journals/jat/2017/3080859.pdf http://downloads.hindawi.com/journals/jat/2017/3080859.pdf]

* [http://dx.doi.org/10.1155/2017/3080859 http://dx.doi.org/10.1155/2017/3080859] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2017/3080859.pdf http://downloads.hindawi.com/journals/jat/2017/3080859.pdf],
: [http://downloads.hindawi.com/journals/jat/2017/3080859.xml http://downloads.hindawi.com/journals/jat/2017/3080859.xml],
: [http://dx.doi.org/10.1155/2017/3080859 http://dx.doi.org/10.1155/2017/3080859]

* [http://dx.doi.org/10.1155/2017/3080859 http://dx.doi.org/10.1155/2017/3080859],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195] under the license http://creativecommons.org/licenses/by/4.0/

* [https://dblp.uni-trier.de/db/journals/corr/corr1607.html#GadepallyK16 https://dblp.uni-trier.de/db/journals/corr/corr1607.html#GadepallyK16],
: [https://www.hindawi.com/journals/jat/2017/3080859 https://www.hindawi.com/journals/jat/2017/3080859],
: [https://arxiv.org/abs/1607.03189v1 https://arxiv.org/abs/1607.03189v1],
: [https://arxiv.org/pdf/1607.03189 https://arxiv.org/pdf/1607.03189],
: [http://downloads.hindawi.com/journals/jat/2017/3080859.pdf http://downloads.hindawi.com/journals/jat/2017/3080859.pdf],
: [https://www.hindawi.com/journals/jat/2017/3080859/ref https://www.hindawi.com/journals/jat/2017/3080859/ref],
: [http://ui.adsabs.harvard.edu/abs/2016arXiv160703189G/abstract http://ui.adsabs.harvard.edu/abs/2016arXiv160703189G/abstract],
: [http://export.arxiv.org/pdf/1607.03189 http://export.arxiv.org/pdf/1607.03189],
: [https://doi.org/10.1155/2017/3080859 https://doi.org/10.1155/2017/3080859],
: [http://export.arxiv.org/abs/1607.03189 http://export.arxiv.org/abs/1607.03189],
: [https://aps.arxiv.org/abs/1607.03189 https://aps.arxiv.org/abs/1607.03189],
: [https://fr.arxiv.org/abs/1607.03189 https://fr.arxiv.org/abs/1607.03189],
: [https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_585242_19 https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_585242_19],
: [https://aps.arxiv.org/pdf/1607.03189 https://aps.arxiv.org/pdf/1607.03189],
: [https://core.ac.uk/display/88193447 https://core.ac.uk/display/88193447],
: [https://academic.microsoft.com/#/detail/2474392009 https://academic.microsoft.com/#/detail/2474392009]

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Scipediacontent: Scipediacontent moved page Draft Content 946800685 to Krishnamurthy et al 2016a

Scipediacontent: Created page with " == Abstract == The authors present a cyber-physical systems study on the estimation of driver behavior in autonomous vehicles and vehicle safety systems. Extending upon prev..."