Automotive

Free Webinar Explores AI Processing Architectures for Intelligent Vehicles

On January 21, 2021 at 9 am PT (noon ET), Deon Spicer, Director of Sales at Horizon Robotics, will present the free half-hour webinar “Advancing the AI Processing Architecture for a New Era of Intelligent Vehicles,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Edge AI applications […]

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CEVA’s High-Performance DSP Solution to Power Renesas’ Next-Generation Automotive SoC

Rockville, MD., – November 11, 2020 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of wireless connectivity and smart sensing technologies, today announced that Renesas has licensed a new, high-performance CEVA DSP to power its next-generation automotive System-on-Chip (SoC). “We are honored that Renesas, a world leading automotive semiconductor supplier, has selected our leading-edge DSP

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OmniVision, Ambarella and Smart Eye Partner on Automotive Industry’s First Combined Driver Monitoring and Videoconferencing Camera Solution

Reference Design Combines OmniVision’s Dual-Mode Global Shutter Image Sensor for Both RGB and IR Imaging With Ambarella’s AI Vision Processor and Smart Eye’s AI DMS Software Algorithm SANTA CLARA, Calif. – Nov. 10, 2020 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, Ambarella, Inc. (Nasdaq: AMBA), an AI vision silicon company,

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Imagination’s New BXS GPU Enables Automotive Graphics in Texas Instruments Processor Family

London, England; 4th November 2020 – Imagination Technologies announces that its BXS-4-64 GPU will be included in Texas Instruments (TI) Jacinto™ processor families for automotive applications. BXS offers up to 60% higher performance for automotive graphics applications, like surround view technology, thanks to its bespoke design for the automotive market needs. IMG BXS is the

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Free Webinar Explores Sensor Fusion for Autonomous Vehicles

On December 15, 2020 at 9 am PT (noon ET), Pierrick Boulay, Market and Technology Analyst at Yole Développement, will present the free hour webinar “Sensor Fusion for Autonomous Vehicles,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Advanced Driving Assistance Systems (ADAS) are based on a

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From EVs to AVs

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Electric vehicles are playing a significant role in driving the shift to autonomy. The past five years have seen an extraordinary investment toward the development of autonomous vehicle (AV) technologies. More than $50 billion by some estimates.

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Vision And Navigation System for Autonomous Vehicles – Global Market Outlook (2019-2027)

The Global Vision and Navigation System for Autonomous Vehicle Market is expected to grow at a CAGR of 24.7% during the forecast period. Growth of deep learning for image processing and role of the government in developing infrastructure for autonomous & connected vehicle are the major factors driving the market growth. However, increasing threat from

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The Acceleration of Artificial Intelligence in Automotive

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Modern automotive sensing applications require tailored AI accelerators. When it comes to artificial intelligence applications in automotive, especially those involving data-intensive or sensor-driven operations, dedicated AI hardware has become essential. These AI accelerators significantly outperform their general-purpose

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ADAS Market by System, Component , Vehicle, Level of Autonomy, Offering, EV, and Region – Global Forecast to 2030

The global ADAS market size is projected to grow from USD 27.0 billion in 2020 to USD 83.0 billion by 2030, at a CAGR of 11.9%. Safety features are an important prerequisite for automotive customers across the world. Governments across the world have mandated the incorporation of features such as lane departure warning (LDW) and

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