Context Awareness and Priority Control for ITS based on Automatic Speech Recognition

Abstract : Bringing rapid assistance to motorists involved in a traffic accident is an important service to be provided by Intelligent Transportation System (ITS). Existing proposals to automatic accident detection are based on the vehicle’s perception point of view. This paper introduces situational awareness based on the “understanding” of conversational speech of drivers/passengers using an automatic speech recognition (ASR) system. Context-aware priority control and congestion control schemes are presented to ensure coexistence of ASR-triggered applications and cooperative awareness messages (CAM) in the IEEE 802.11p system. Finally, application risk analysis and performance evaluations of ASR and V2X communications are carried out.
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Communication dans un congrès
International conference on ITS Telecommunications, Dec 2015, Copenhagen, Denmark. 2015, 〈http://www.itst-conf.org/〉
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https://hal.inria.fr/hal-01225312
Contributeur : Oyunchimeg Shagdar <>
Soumis le : vendredi 6 novembre 2015 - 13:15:15
Dernière modification le : vendredi 25 mai 2018 - 12:02:07
Document(s) archivé(s) le : lundi 8 février 2016 - 12:51:21

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Sakriani Sakti, Oyunchimeg Shagdar, Fawzi Nashashibi, Satoshi Nakamura. Context Awareness and Priority Control for ITS based on Automatic Speech Recognition. International conference on ITS Telecommunications, Dec 2015, Copenhagen, Denmark. 2015, 〈http://www.itst-conf.org/〉. 〈hal-01225312〉

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