By Peter Voss and Benno Kusstatscher, Automotive Segment Team Analog Devices This article was originally published by Elektronik Magazine. It is reprinted here with the permission of the original publisher. Abstract Car manufacturers (OEM‘s) and system suppliers (Tier 1s) do agree: Advanced Driver Assistance Systems (ADAS) will see a steep growth in the years to […]
Camera-Based ADAS for Mass Deployments Read More +
By Don Nesbitt, Marketing Manager in the High Speed Signal Conditioning Group Analog Devices This article was originally published by Hanser Automotive Magazine. It is reprinted here with the permission of the original publisher. The emerging field of video-based automotive safety was in the headlines during December 2011 when the U.S. Department of Transportation proposed
Auto-Safety Mandate Brings Video Systems into Full View, Along with Design Challenges Read More +
Jeff Bier, Embedded Vision Alliance Founder, moderates a discussion panel comprised of the presenters in the "Embedded Vision Applications and Algorithms" technical session at the September 2012 Embedded Vision Summit; Mario Bergeron from Avnet, Simon Morris from CogniVue, and Bo Wu from Synopsys. The panelists discuss topics such as the ability to derive depth approximation
September 2012 Embedded Vision Summit Panel: Avnet, CogniVue, and Synopsys Read More +
Simon Morris, CEO at CogniVue, presents the "Challenges and Techniques in Low-Cost, Low-Power, Small Form Factor Vision Applications" tutorial within the "Using Tools, APIs and Design Techniques for Embedded Vision" technical session at the September 2012 Embedded Vision Summit. Morris discusses the multiple stages in the development of a smart rear-view camera application performing vision-based
Gabby Yi, DSP Applications Engineer at Analog Devices, presents the "Automotive Safety Applications and Algorithms" tutorial within the "Embedded Vision Applications and Algorithms" technical session at the September 2012 Embedded Vision Summit. Gabby’s presentation provides a brief overview of the evolution of automotive safety and associated safety standards, with a number of examples of current
Dan Isaacs, Director of Processing Product Marketing at Xilinx, and Michael Fawcett, Chief Technology Officer at iVeia, presents the "Image Processing for Object Recognition and Tracking" tutorial, part of the "Embedded Vision Applications and Algorithms" technical session at the September 2012 Embedded Vision Summit. Topics discussed included trends in image processing for embedded vision applications,
Jeff Bier, Founder of the Embedded Vision Alliance and co-founder and president of BDTI, presents the day-opening "Introduction to Embedded Vision" tutorial at the September 2012 Embedded Vision Summit. Topics discussed by Bier in his presentation include a technology overview, application examples, hardware, software and development tool trends, and an overview of the Embedded Vision
Gary Bradski presents the afternoon keynote at the September 2012 Embedded Vision Summit. Bradski is President and CEO of the OpenCV Foundation and Founder and Chief Technical Officer of Industrial Perception Inc. The "father of OpenCV" (the Open Source Computer Vision Library), Bradski has been the director of its development for more than 14 years,
September 2012 Embedded Vision Summit Afternoon Keynote: Gary Bradski, OpenCV Foundation Read More +
Professor Rosalind Picard presents the morning keynote at the September 2012 Embedded Vision Summit. Professor Picard is the founder and director of the Affective Computing Research Group at the MIT Media Laboratory, co-director of the Things That Think Consortium (the largest industrial sponsorship organization at the lab) and leader of the new and growing Autism
Traffic sign recognition is one of emerging capabilities of advanced driver assistance and safety systems. In this demonstration, images captured by a 30 fps color camera are fed to algorithms running on a DM6437 EVM board and analyzed to detect circular traffic signs. When red circles are detected, they are further analyzed and classified within
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