Sensor sequence modeling for driving

Kari Torkkola, Srihari Venkatesan, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

Intelligent systems in automobiles need to be aware of the driving and driver context. Available sensor data stream has to be modeled and monitored in order to do so. Currently there exist no building blocks for hierarchical modeling of driving. By semi-supervised segmentation such building blocks can be discovered. We call them drivemes in analogy to phonemes. More parsimonious modeling of driving becomes now possible.

Original languageEnglish (US)
Title of host publicationRecent Advances in Artifical Intelligence - Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005
EditorsI. Russell, Z. Markov
Pages721-726
Number of pages6
StatePublished - Dec 1 2005
EventRecent Advances in Artifical Intelligence - Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Clearwater Beach, FL, United States
Duration: May 15 2005May 17 2005

Publication series

NameProceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence

Other

OtherRecent Advances in Artifical Intelligence - Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005
CountryUnited States
CityClearwater Beach, FL
Period5/15/055/17/05

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Torkkola, K., Venkatesan, S., & Liu, H. (2005). Sensor sequence modeling for driving. In I. Russell, & Z. Markov (Eds.), Recent Advances in Artifical Intelligence - Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 (pp. 721-726). (Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence).