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	<title>Bryan Berezdivin &#8211; Noise</title>
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		<title>Ingesting Automotive Sensor Data using DXC RoboticDrive Ingestor on AWS</title>
		<link>https://noise.getoto.net/2021/12/17/ingesting-automotive-sensor-data-using-dxc-roboticdrive-ingestor-on-aws/</link>
		
		<dc:creator><![CDATA[Bryan Berezdivin]]></dc:creator>
		<pubDate>Fri, 17 Dec 2021 17:05:12 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Architecture]]></category>
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					<description><![CDATA[This post was co-written by Pawel Kowalski, a Technical Product Manager for DXC RoboticDrive and Dr. Max Böhm, a software and systems architect and DXC Distinguished Engineer. To build the first fully autonomous vehicle, L5 standard per SAE, auto-manufacturers collected sensor data from test vehicle fleets across the globe in their testing facilities and driving […]]]></description>
		
		
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		<title>Field Notes: Implementing Hardware-in-the-Loop for Autonomous Driving Development on AWS</title>
		<link>https://noise.getoto.net/2020/10/13/field-notes-implementing-hardware-in-the-loop-for-autonomous-driving-development-on-aws/</link>
		
		<dc:creator><![CDATA[Bryan Berezdivin]]></dc:creator>
		<pubDate>Tue, 13 Oct 2020 14:32:11 +0000</pubDate>
				<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Automotive]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Field Notes]]></category>
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					<description><![CDATA[Automotive customers use AWS as their platform for advanced driving assistance systems (ADAS) and autonomous driving (AD) development to accelerate their development cycles and experience faster time-to-market.&#160; In the blog post, Autonomous Vehicle and ADAS development on AWS Part 1: Achieving Scale, we illustrated how software in the loop (SiL) and hardware in the loop [&#8230;]]]></description>
		
		
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