Abstract
Nowadays, a wide variety of in-vehicle services connect to a backend system via Internet. The key is to deliver information to the vehicle that is not locally available but accessible via Internet. For example, systems such as Google Traffic use fleet data to analyze the current traffic situation. This chapter gives an overview of available technologies for transmitting, storing, and analyzing data in a backend system. Based on simulation and measurement methods, we investigated the time required for transmitting data via cellular networks. The estimated transmission time is about 400 ms, whereby it can increase to 1 s, depending on the traffic situation and the condition of the cellular network. The transmitted data are then available in the backend system for further analysis. The technological background of the methods used for data storage and analysis is introduced by an example of a minimalistic programming for a local danger warning database system. The example of extracting parameters in intersections to support driver assistance systems illustrates how relevant information can be generated from fleet data. Hence, these data allow an enhancement of as yet prototypically developed driver assistance systems and enable the development of new systems.
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© 2016 Springer International Publishing Switzerland
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Klanner, F., Ruhhammer, C. (2016). Backend Systems for ADAS. In: Winner, H., Hakuli, S., Lotz, F., Singer, C. (eds) Handbook of Driver Assistance Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-12352-3_29
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DOI: https://doi.org/10.1007/978-3-319-12352-3_29
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