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<oembed><version>1.0</version><provider_name>Deep Prediction for Self-Driving Cars</provider_name><provider_url>https://mscvprojects.ri.cmu.edu/2019teamg</provider_url><title>Project Summary - Deep Prediction for Self-Driving Cars</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="ymb4ImXdRS"&gt;&lt;a href="https://mscvprojects.ri.cmu.edu/2019teamg/project-summary/"&gt;Project Summary&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2019teamg/project-summary/embed/#?secret=ymb4ImXdRS" width="600" height="338" title="&#x201C;Project Summary&#x201D; &#x2014; Deep Prediction for Self-Driving Cars" data-secret="ymb4ImXdRS" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Abstract Autonomous driving presents one of the largest problems that the robotics and artificial intelligence communities are facing at the moment, both in terms of difficulty and potential societal impact. Self-driving vehicles (SDVs) are expected to prevent road accidents and save millions of lives while improving the livelihood and life quality of many more. However, &hellip; Continue reading ""</description><thumbnail_url>https://mscvprojects.ri.cmu.edu/2019teamg/wp-content/uploads/sites/22/2019/05/Picture1.png</thumbnail_url><thumbnail_width>356</thumbnail_width><thumbnail_height>216</thumbnail_height></oembed>

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