Vehicle Embedded Data Stream Processing Platform for Android Devices
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 2, 2015 Vehicle Embedded Data Stream Processing Platform for Android Devices Shingo Akiyama∗, Yukikazu Nakamoto∗, Akihiro Yamaguchiy, Kenya Satoz, Hiroaki Takadax ∗Graduate School of Applied Informatics, University of Hyogo, Japan yCenter for Embedded Computing System, Nagoya University, Japan zMobility Research Center, Doshisha University, Japan xGraduate School of Information Science, Nagoya University, Japan Abstract—Automotive information services utilizing vehicle and make decisions on the basis of this data to control data are rapidly expanding. However, there is currently no the vehicle on behalf of the driver. Jones used information data centric software architecture that takes into account the obtained from multiple on-board sensors to perform evasive scale and complexity of data involving numerous sensors. To steering and, when collision is unavoidable, to activate brake address this issue, the authors have developed an in-vehicle data- intervention to dampen the impact, thus decreasing damage stream management system for automotive embedded systems [5]. Such intelligent control systems acquire data from many (eDSMS) as data centric software architecture. Providing the data stream functionalities to drivers and passengers are highly sensors, such as cameras and millimeter-wave radar. Google beneficial. This paper describes a vehicle embedded data stream and Urban Challenge, which is a competition funded by the processing platform for Android devices. The platform enables Defense Advanced Research Projects Agency, revealed that flexible query processing with a dataflow query language and self-driving in urban areas is both feasible and safe in terms extensible operator functions in the query language on the of autonomous driving [6], [7].
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