Advances for In-Vehicle and Mobile Systems: Challenges for by Hakan Erdogan, Aytül Ereil, Hüseyin Abut (auth.), Héseyin

By Hakan Erdogan, Aytül Ereil, Hüseyin Abut (auth.), Héseyin Abut, John H. L. Hansen, Kazuya Takeda (eds.)

Advances for In-Vehicle and cellular platforms: demanding situations for foreign Standards is prepared to compile the main lively students engaged on the most recent ideas, criteria, and rising deployment on "living within the age of instant communications and clever vehicular systems." the target is to include speech, conversation, video, photograph, vehicular sensory information, and instant verbal exchange modalities to version the complete habit of the driving force and use that version in the direction of personalization of the car to supply a more well-off and more secure using adventure. The layout of this paintings facilities on 4 subject matters: motive force and riding surroundings attractiveness, telecommunication purposes, noise relief, and conversation in vehicles.

Advances for In-Vehicle and cellular platforms: demanding situations for foreign Standards is acceptable for researchers, engineers, and pros operating in sign processing applied sciences, subsequent new release car layout, and networks for cellular platforms.

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ACKNOWLEDMENT The French Comte Regional Council is gratefully acknowledged for its financial support. The authors extend their appreciation to L. Moalic. REFERENCES [I] [2] [3] [4] [5] [6] [7] [8] [9] [10] [II] [12] [13] Parent M. , "Design of an electric vehicle specific for urban transport," in Congres EVT'95. Paris, 1995. Dumontet F. Allal C. , "Design tools for public cars transportation systems," in Fourth International Conference on Applications of Advanced Technologies in Transportat ion Engineering.

I, pp. 72-83, Jan. 1995. [9] N. Kawaguchi , S. Matsubara, K. Takeda, and F. Itakura, "Multimedia data collection of in-car speech communication," Proc. EUROSPEECH 200 I, pp. 2027-2030 , Sept. 2001. [10] K. Ozawa, T. Wakita, C. Miyajima, K. Itou, and K. Takeda, "Modeling of individualities in driving through spectral analysis of behavioral signals," Proc. IEEE-IS SPA 2005, pp. 851-854, Aug. 2005. [II] N. Kawaguchi , S. Matsubara, I. Kishida , Y. Irie, H. Murao, Y. Yamaguchi, K. Takeda and F. Itakura, "Construction and Analysis of the Multi-layered In-car Spoken Dialogue Corpus," Chapter I in DSP in Vehicular and Mobile Systems, H.

The results for l6-component GMM in Figures 3-5 and 3-6 are summarized in Figure 3-7. 80. 76 . We can thus conclude that cepstral features could capture the individualities in driving behavior better than raw driving signals, and could achieve better performance in driver identification. We also carried out driver identification experiments using driving signals collected on a driving simulator, obtaining similar results [10]. 50 , . . & 35 ~ § 30 ~ ~ :5! 25 20 mix. 8 Weight for gas pedal u Figure 3-5.

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