Collecting Big Data from Automotive ECUs beyond the CAN Bandwidth for Fault Visualization

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/misy/volume-2017/4395070/figures/4395070.fig.007a.svgz" name="4395070.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Data captured by using Trace 32</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/misy/volume-2017/4395070/figures/4395070.fig.007b.svgz" name="4395070.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Data collected by using proposed algorithm</td></tr></table>

<div>Captured data in a stack randomly using Trace 32 and the data collected using proposed algorithm.</div>

Mobile Information Systems

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Figure 7

Figure 7: Collecting Big Data from Automotive ECUs beyond the CAN Bandwidth for Fault Visualization 