Archive | ADAS

On Demand Webinar: Challenges of Vision Based Autonomous Driving & Facilitation of An Embedded Neural Network Platform

The automotive market is seeing accelerated growth and rapid adoption of vision applications that will lead the way to autonomous vehicles. With the complexity of these systems, Tier-1 suppliers, OEMs, and the entire automotive industry are utilizing artificial intelligence and deep learning algorithms to identify objects, determine free space for vehicles and plan the vehicle […]

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Choosing The Best Vision System for Highly Automated Vehicles: Centralized or Edge Processing, Which is The Best Choice?

One of the most important attributes of a highly-automated vehicle (HAV) is its ability to see. Multiple computer vision sensors, distributed along the periphery of the vehicle, are what make HAVs ‘aware’ of their surroundings. This awareness is what enables decision making, whether it’s changing the course of the vehicle, or notifying the human driver […]

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CDNN: Generating an Embedded Neural Network at The Push of a Button

In two of my previous posts, I discussed deep learning frameworks, features and challenges and the specific challenges of deep learning in embedded systems. In this post, I would like to introduce the toolkit that deals with these challenges and serves as an extremely powerful and effective way to streamline development of deep learning on […]

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Challenges to Fully Autonomous Cars

On September 19, 2016, the U.S. Government issued the Federal Automated Vehicles Policy, marking a significant milestone in the progress of autonomous vehicles. Although this is a guidance document and does not contain official regulations, it is the first federal involvement in the United States. The federal government recognizes that the automation of vehicles has […]

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The New CEVA-XM6 Powered Vision Platform Is Here; Prepare to See Things Differently

It’s no secret that CEVA has been pushing the envelope for over a decade to make intelligent machine vision a viable possibility in mass market embedded devices. With four generation of successful, widely adopted DSP cores behind us, including the award-winning CEVA-XM4, we have established our position as the industry leader in low-power, high-performance programmable […]

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Come and meet the CEVA team at AutoSens 2016

            Please join CEVA at Europe’s most forward-thinking ADAS technology event. AutoSens brings together several engineering disciplines in a collaborative environment to advance sensor technology and its integration into vehicles of today and tomorrow. Built on the vision of senior technical experts at automotive OEMs and Tier 1 suppliers, and […]

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Deep Learning and Low Power Vision Processing are the key to Autonomous Driving – Thoughts from the IS-Auto 2016 Conference

As we enter into the realm of fully autonomous vehicles over the next decade, automotive Tier-1s and OEMs are striving to solve many unique challenges.  Challenges being addressed range from government policy and public acceptance through to solving the key technological challenges that are critical to help deliver on the promise of full automobile autonomy.  […]

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“Moving autonomous driving into the fast lane”

There have been few technological movements in automotive that feel as revolutionary as the one we have in front of us today; Autonomous Driving. These days, it’s discussed far beyond the automotive industry – open any technology or lifestyle magazine on the newsstand and it’s pretty much guaranteed there will be an article discussing the […]

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ISO 26262 Design Package available for the CEVA-XM4 Imaging and Vision DSP

CEVA has recently achieved a major milestone with the release of an ISO 26262 design package for the CEVA-XM4 imaging and vision DSP.  This achievement further illustrates CEVA’s commitment and dedication to delivering IP that meets and exceeds automotive industry standards and places CEVA IP at the forefront of other major IC vendors who are […]

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How Computer Vision is Reshaping the Four Key Growth Segments of 2016

Computer vision and computational photography are an intrinsic part of the Internet of Things (IoT) arena where cameras and sensors reign supreme. This blog offers a quick overview of how computer vision technology is transforming the most crucial markets in 2016: mobile, automotive, security and surveillance, and drones. Mobile The digital camera in smartphones is […]

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