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http://dx.doi.org/10.9708/jksci.2013.18.8.033

Android-Based Open Platform Intelligent Vehicle Services Middleware Application  

Choi, Byung-Kwan (Hoseo Graduate School)
Abstract
Intelligent automobile technology and IT convergence, the development of new imaging technology media applications based on open source Android installed on tracked, wheeled smart phone application technology and the development of intelligent vehicles as a new paradigm a lot of research and development being made. Android-based intelligent automotive applications, technology, and evolved into the center of a set of various multimedia technologies move beyond the limits of the means of each of multimedia platforms, services and applications that have been developed in such a distributed environment, has been developed according to a variety of services through technology mobile terminal device technology is an absolute requirement. In this paper, SVC Codec, real-time video and graphics processing and SoC design intelligent vehicles middleware applications with monolithic system specification through Android-based design of intelligent vehicles dedicated middleware research experiments on open platforms, and provides various terminal services functions SoC based on a newly designed and standardized interface analysis techniques in this study were verified through experiments.
Keywords
Android Middleware; SoC; Smartphone Application; Automotive-IT;
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1 T.-S. Dao, K. Y. K. Leung, C. M. Clark, and J. P. Huissoon,"Markov-based lane positioning using intervehicle communication", IEEE Trans. Intell. Transp. Syst., vol. 8, no. 4, pp. 641-650, Dec. 2007.   DOI   ScienceOn
2 Radu Danescu and Sergiu Nedevschi, "Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision,"IEEE Trans. Intell. Transp. Syst. Vol.10, No.2, pp.272-282, Jun.,2009.   DOI   ScienceOn
3 H. Yoo, U. Yang, K. Sohn, "Gradient Enhancing Conversion for Illumination-Robust Lane Detection," IEEE Trans. Intell. Transp. Syst(Submitted 2011. 12).
4 S. E. Shladover and S.-K. Tan, "Analysis of vehicle positioning accuracy requirements for communication-based cooperative collicion warning," J. of Intelligent Transport Systems, vol. 10, no. 3, pp. 131-140, 2006.   DOI   ScienceOn
5 H-Y Cheng, B-S Heng, P-T Tseng, K-C Fan, "Lane Detection with Moving Vehicles in the Traffic Scenes," IEEE Trans. Intell. Transp. Syst. Vol.7, No.4, Dec., pp.571-582, 2010.
6 C-Y su, G-H Fan "An Effective and Fast Lane Detection Algorithm," Advances in Visual Computing, Vol.5359, pp.942-948, 2009.
7 Y. Zhou, R. Xu, X. Hu, Q. Ye, "A robust lane detection and tracking method based on computer vision," Measurement Science and Technology, Vol.17, pp.736-745, 2011.
8 M. S. Grewal, L. R. Weill, and A. P. Andrews, Global Positioning Systems, Inertial Navigation, and Integration, Wiley, 2009.
9 G. M. Djuknic and R. E. Richton, "Geolocation and assisted GPS," IEEE Computer, vol. 34, no. 2, pp. 123-125, Feb. 2008.
10 E. Abbott and D. Powell, "Land-vehicle navigation using GPS," Proc. of the IEEE, Aug. 2009.
11 S. Rezaei and R. Sengupta, "Kalman filter-based integration of DGPS and vehicle sensors for localization," IEEE Trans. Control Syst. Techno., vol. 15, no. 6, pp. 1080-1088, Nov. 2007.   DOI   ScienceOn
12 S. Rezaei, R. Sengupta, H. Krishnan, X. Guan, and R. Bhatia, "Tracking the position of neighboring vehicles using wireless communications," Elsevier Transportation Research, Part. C, no. 18, May 2009.
13 Y. Wang, E-K Teoh, D. Shen, "Lane detection and tracking using B-Snake,"Image and Vision Computing, Vol.22, pp.269-280, 2010.
14 ZuWhan Kim, "Robust Lane Detection and Tracking in Challenging Scenarios," IEEE Trans. Intell. Transp. Syst. Vol.9, No.1, pp.16-26, Mar., 2009.