embedded world 2017: Seeking ALPHA for Autonomous Drive Applications
March 20, 2017
At embedded world 2017, Milan Bjelica, UI/UX lead at RT-RK walks Rich Nass of Embedded Computing Design through a semi-autonomous driving demonstration (Hall 4, Booth 614) based on TDA2 chips from...
At embedded world 2017, Milan Bjelica, UI/UX lead at RT-RK walks Rich Nass of Embedded Computing Design through a semi-autonomous driving demonstration (Hall 4, Booth 614) based on TDA2 chips from Texas Instruments and a software stack from RT-RK. Implemented in a mirror replacement application, Milan explains how the low-cost entry platform for advanced driver assistance systems (ADAS), codenamed ALPHA, will enable innovation and scale in safety-critical autonomous drive applications.
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Rich Nass is a regular contributor to Embedded Computing Design. He has appeared on more than 500 episodes of the popular Embedded Executive podcast series, and is a regular contributor to the Embedded Insiders podcast.
Rich has been in the engineering OEM industry for more than 35 years, and is a recognized expert in the areas of embedded computing, Edge AI, industrial computing, the IoT, and cyber-resiliency and safety and security issues. He writes and speaks regularly on these topics and more.
Rich is currently the Liaison to Industry for the Embedded World North America Exhibition and Conference, and has held similar positions with the global Embedded World Conference and Exhibition.
Previously, Rich was the Brand Director for UBM’s award-winning Design News property. Prior to that, he led the content team for UBM Canon’s Medical Devices Group, as well all custom properties and events. In prior stints, he led the Content Team at EE Times, handling the Embedded and Custom groups and the TechOnline DesignLine network of design engineering web sites.
Nass holds a BSEE degree from the New Jersey Institute of Technology.
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