This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. For the last decade, Imagination has been at the forefront of heterogeneous compute, becoming a founding member of the HSA Foundation and a contributor to many open […]
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The substantial resources available in modern programmable logic devices, in some cases including embedded processor cores, makes them strong candidates for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across programmable logic fabric and other heterogeneous processing elements within a system. As mentioned in the
OpenCL Streamlines FPGA Acceleration of Computer Vision Read More +
This article was originally published at videantis' website. It is reprinted here with the permission of videantis. The field of automotive ADAS solutions is growing rapidly. Several systems are already on the market and even more are in development. To help you navigate the many acronyms in use, here’s a helpful list of definitions. Please
A Handy List of Automotive ADAS Acronyms Read More +
This article was originally published on June 10, 2015 at Altera's website. It is reprinted here with the permission of Altera. Papers at this year’s Embedded Vision Summit suggested the vast range of ways that embedded systems can employ focused light as an input, and the even vaster range of algorithms and hardware implementations they
Sorting Out Embedded Vision Systems Read More +
This article was originally published at videantis' website. It is reprinted here with the permission of videantis. This is the 2nd consecutive year that the Image Sensor Auto conference took place in the lovely city of Brussels. Known for its waffles, fries, chocolate and beers, Brussels is a great city to visit. There was little
Show Report: 2015 Image Sensor Auto Conference Read More +
This article was originally published at videantis' website. It is reprinted here with the permission of videantis. Advanced driver assistance systems (ADAS) automate, adapt, or enhance automotive vehicles to increase safety and enhance the driving experience. These systems use sensors such as radar, ultrasound, and especially standard digital cameras to capture their surroundings. Video analytics
Automotive Vision Processing Moving Into the Camera Read More +
This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the
Smart Exterior Cameras Enhance Vehicle Safety, Security Read More +
OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and
OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +
This article was originally published at Avnet's website. It is reprinted here with the permission of Avnet. By Stephen Evanczuk Advances in embedded vision technology have heightened interest in applying smart vision solutions for automotive safety. Despite past difficulties in overcoming the complexity of embedded vision design, designers today can take advantage of image-processing software,
Getting Started in Automotive Smart Vision Design Read More +
This article was originally published at Avnet's website. It is reprinted here with the permission of Avnet. By Stephen Evanczuk Vision has always occupied a special place in information science and popular culture. One does not need to be an engineer to appreciate the vast bandwidth available in normal human vision. Most people understand that
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