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Abstract: smart cars are promising application domain for ubiquitous computing. context-awareness is the key feature of a smart car for safer and easier driving. Despite many industrial innovations and academic progresses have been made, we find a lack of fully context-aware smart cars. This study presents a general architecture of smart cars from the viewpoint of context-awareness. A hierarchical context model is proposed for description of the complex driving environment. A smart car prototype including software platform and hardware infrastructures is built to provide the running environment for the context model and applications. Two performance metrics were evaluated: accuracy of the context situation recognition and efficiency of the smart car. The whole response time of context situation recognition is nearly 1.4 s for one person, which is acceptable for non-time critical applications in a smart car.

[1] Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J., 1997. Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell., 19(7):711-720.

[2] Bellotti, F., de Gloria, A., Montanari, R., Dosio, N., Morreale, D., 2005. COMUNICAR: designing a multimedia, context-aware human-machine interface for cars. Cogn. Technol. Work, 7(1):36-45.

[3] Benz, 2007. Mercedes-Benz to Present Driver Assistance Systems of Tomorrow at the ITS World Congress 2008. Available from: http://e-carzone.com/news/auto_5911.shtml.

[4] Bryan, P., Adrian, P., 2005. Challenges in Securing Vehicular Networks. Proc. HotNets-IV, 2005.

[5] COM2REACT Project, 2006. COM2REACT: V2V Communication for Cooperative Local Traffic Management. Available from: http://hal.archives-ouvertes.fr/docs/00/18/00/49/PDF/ITSWC2007-COM2REACT-v2.pdf.

[6] COOPERS Project, 2006. Cooperative Systems for Intelligent Road Safety. Available from: http://www.first.fraunhofer.de/owx_download/projektblatt_coopers_082008_screen_en.pdf.

[7] Cootes, T.F., Edwards, G.J., Taylor, C.J., 2001. Active appearance models. IEEE Trans. Med. Imag., 23(6):681-685.

[8] COVER Project, 2006. Semantic Driven Cooperative Vehicle, Infrastructure Systems for Advanced e-Safety Applications. Available from: http://www.esafetysupport.org/en/esafety_activities/related_projects/research_and_development/cover.htm.

[9] CVIS Project, 2006. CVIS-Cooperative Vehicle-Infrastructure Systems. Available from: http://www.esafetysupport.org/en/esafety_activities/related_projects/research_and_development/cvis.htm.

[10] Daniel, S., Anind, K.D., Gregory, D.A., 1999. The Context Toolkit: Aiding the Development of Context-enabled Applications. Proc. SIGCHI Conf. on Human Factors in Computing Systems, p.434-441.

[11] Giulio, V., 2007. The SAFESPOT integrated project: an overview. IEEE Intelligent Vehicles Symp., p.14.

[12] Hoch, S., Althoff, F., Rigoll, G., 2007. The Connected Drive Context Server-flexible Software Architecture for a Context Aware Vehicle. Advanced Microsystems for Automotive Applications, Springer, Berlin, Heidelberg.

[13] Hubaux, J.P., Capkun, S., Jun, L., 2004. The security and privacy of smart vehicles. IEEE Secur. Priv. Mag., 2(3):49-55.

[14] Kumagai, T., Akamatsu, M., 2006. Prediction of human driving behavior using dynamic bayesian networks. IEICE-Trans. Inf. Syst., E89-D(2):857-860.

[15] Kutila, M.H., Jokela, M., Kinen, T.M., Viitanen, J., Markkula, G., Victor, T.W., 2007. Driver cognitive distraction detection: feature estimation and implementation. Proc. IMechE J. Autom. Eng., 221(9):1027-1040.

[16] Küçükay, F., Bergholz, J., 2004. Driver Assistant Systems. Int. Conf. on Automotive Technologies. Istanbul, Turkey.

[17] Lee, J., Reyers, M., Smyser, T., Liang, Y., Thornburg, K., 2004. Safety Vehicles Using Adaptive Interface Technology (Task Final Report: Phase 1 of the SAVE-IT project). Available from: www.volpe.dot.gov/opsad/saveit.

[18] Lexus, 2007. Lexus Advanced Active Safety Technologies. Available from: http://www.lexushelp.com/models/2008/LSh/Description.htm.

[19] Liu, Y.Y., 2007. Sonar 2.0: The Speaker Recognition Software Platform. MS Thesis, Zhejiang University, China (in Chinese).

[20] Magda, E.Z., Sharad, M., Gene, T., Nalini, V., 2002. Security Issues in a Future Vehicular Network. Proc. European Wireless.

[21] Matthias, S., 2006. Contribution of PReVENT to the Safe Cars of the Future. Presentation in Special Session of 13th ITS World Congress, London, UK.

[22] MIT, 2004. City Car. Available from: http://cities.media.mit.edu/projects/citycar.html.

[23] Miyajima, C., Nishiwaki, Y., Ozawa, K., Wakita, T., Itou, K., Takeda, K., Itakura, F., 2007. Driver modeling based on driving behavior and its evaluation in driver identification. Proc. IEEE, 95(2):427-437.

[24] Moite, S., 1992. How Smart Can a Car Be. Proc. Intell. Vehicles Symp., p.277-279.

[25] Oliver, N., Pentland, A.P., 2000. Graphical Models for Driver Behavior Recognition in a Smart Car. Proc. lEEE Intell. Vehicles Symp., p.7-12.

[26] Pan, G., Sun, L., Wu, Z.H., Lao, S.H., 2007. Eyeblink-based Anti-spoofing in face recognition from a Generic Webcamera. 11th IEEE Int. Conf. on Computer Vision, Rio de Janeiro, Brazil, p.1-8.

[27] Panos, P., Virgil, G., Jean-Pierre, H., 2006. Securing Vehicular Communications—Assumptions, Requirements, and Principles. 4th Workshop on Embedded Security in Cars, Berlin, Germany.

[28] Parent, M., Fortelle, A.D.L., 2005. Cybercars: Past, Present and Future of the Technology Parent. ITS World Congress.

[29] Rau, P.S., 1998. A Heavy Vehicle Drowsy Driver Detection and Warning System: Scientific Issues and Technical Challenges. Proc. 16th Int. Technical Conf. on the Enhanced Safety of Vehicles, Ontario, Canada.

[30] Raya, M., Hubaux, J.P., 2005. The Security of Vehicular Ad-hoc Networks. Proc. SASN, p.11-21.

[31] Reichardt, D., Miglietta, M., Moretti, L., Morsink, P., Schulz, W., 2002. CarTALK 2000: safe and comfortable driving based upon inter-vehicle-communication. IEEE Intell. Vehicle Symp., 2(17-21):545-550.

[32] Rusconi, G., Brugnoli, M.C., Dosso, P., Kretzschmar, K., Bougia, P., Fotiadis, D.I., Salgado, L., Jaureguizar, F., de Feo, M., 2007. I-WAY, intelligent co-operative system for road safety. IEEE Intell. Vehicles Symp.. 13(15):1056-1061.

[33] Tang, S.M., Wang, F.Y., Miao, Q.H., 2006. ITSC 05: current issues and research trends. IEEE Intell. Syst., 21(2):96-102.

[34] Viola, P., Jones, M.J., 2004. Robust real-time face detection. Int. J. Comput. Vis., 57(2):137-154.

[35] Volvo, 2007. Volvo Cars Focuses on Preventive Safety. Available from: http://www.volvocars.com/intl/corporation/NewsEvents/News/Pages/default.aspx?item=33

[36] Wang, F.Y., 2006. Driving into the future with ITS. IEEE Intell. Syst., 21(3):94-95.

[37] Wang, F.Y., Zeng, D., Yang, L.Q., 2006. Smart cars on smart roads: an IEEE intelligent transportation systems society update. IEEE Perv. Comput., 5(4):68-69.

[38] WATCH-OVER Project, 2006. WATCH-OVER—Vehicle-to-vulnerable road user cooperative communication and sensing technologies to improve transport safety. Available from: http://www.esafetysupport.org/en/esafety_activities/related_projects/research_and_development/watch-over.htm