STRADVISION

STRADVISION to Provide SVNet Utilizing the Next-Gen 3D Perception Network for Scalable ADAS Product Line Across All Levels of Autonomy Using Texas Instruments’ Automotive Processors

First use of next-gen 3D perception network for production targeting 4Q 2024 SVNet enables deep learning-based embedded perception algorithms for automotive developers using TI’s AM62A and TDA4 family of processors for Level 2, including the TDA4VH-Q1 processor for Level 2+ or higher ADAS and AD systems STRADVISION will host Texas Instruments’ SoC demos during CES® […]

STRADVISION to Provide SVNet Utilizing the Next-Gen 3D Perception Network for Scalable ADAS Product Line Across All Levels of Autonomy Using Texas Instruments’ Automotive Processors Read More +

STRADVISION to Unveil Next-Gen ‘3D Perception Network’ and Showcase SVNet Portfolio at CES 2024

SEOUL, South Korea, Dec. 13, 2023 /PRNewswire/ — STRADVISION, an automotive industry pioneer in deep learning-based vision perception technology, is set to revolutionize the ADAS landscape at CES® 2024 in Las Vegas. Located at the Westgate Hotel Hospitality Suite #28115, the showcase will be open to industry professionals from January 9th to 12th. At the

STRADVISION to Unveil Next-Gen ‘3D Perception Network’ and Showcase SVNet Portfolio at CES 2024 Read More +

“Developing an Efficient Automotive Augmented Reality Solution Using Teacher-student Learning and Sprints,” a Presentation from STRADVISION

Jack Sim, CTO of STRADVISION, presents the “Developing an Efficient Automotive Augmented Reality Solution Using Teacher-student Learning and Sprints” tutorial at the May 2023 Embedded Vision Summit. ImmersiView is a deep learning–based augmented reality solution for automotive safety. It uses a head-up display to draw a driver’s attention to important objects. The development of such

“Developing an Efficient Automotive Augmented Reality Solution Using Teacher-student Learning and Sprints,” a Presentation from STRADVISION Read More +

STRADVISION Receives European Automotive Industry’s Top Information Security Management Standard, TISAX AL3

TISAX’s AL3 standard further positions STRADVISION as an excellent partner providing unparalleled reliability in the level of information security The achievement spurs STRADVISION’s focus on global business expansion, including the European market SEOUL, South Korea, May 1, 2023 /PRNewswire/ — STRADVISION, an automotive industry pioneer in deep learning-based vision perception technology, has received the highest assessment

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STRADVISION Becomes Newest Member of CLEPA – European Association of Automotive Suppliers

CLEPA Membership Greatly Benefits STRADVISION’s Ability to Contribute Further to the European Automotive Landscape April 4, 2023 – STRADVISION, an automotive industry pioneer in deep learning-based vision perception technology, has announced its new membership to CLEPA, the European Association of Automotive Suppliers. Fellow CLEPA members include over 100 of the world’s most prominent car parts, systems,

STRADVISION Becomes Newest Member of CLEPA – European Association of Automotive Suppliers Read More +

Looks Can Be Perceiving: Startups Build Highly Accurate Perception Software on NVIDIA DRIVE

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. High-performance, energy-efficient AI compute is heightening autonomous vehicles’ detection capabilities. For autonomous vehicles, what’s on the surface matters. While humans are taught to avoid snap judgments, self-driving cars must be able to see, detect and act quickly

Looks Can Be Perceiving: Startups Build Highly Accurate Perception Software on NVIDIA DRIVE Read More +

“Designing Bespoke CNNs for Target Hardware,” a Presentation from StradVision

Woonhyun Nam, Algorithms Director at StradVision, presents the “Designing Bespoke CNNs for Target Hardware” tutorial at the September 2020 Embedded Vision Summit. Due to the great success of deep neural networks (DNNs) in computer vision and other machine learning applications, numerous specialized processors have been developed to execute these algorithms with reduced cost and power

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Green Hills Software and StradVision Demonstrate Road-Ready Deep Learning Perception at CES 2020

Safe and Secure INTEGRITY RTOS and StradVision’s SVNet Vision Processing Technology Combine for Deep Learning Driving in Late 2020 Vehicles SANTA BARBARA, Calif., and SAN JOSE, Calif., Jan. 9, 2020 /PRNewswire/ — When the biggest stakeholders in the automotive and technology worlds converge in Las Vegas at CES 2020 from Jan. 7-10 to showcase the latest in

Green Hills Software and StradVision Demonstrate Road-Ready Deep Learning Perception at CES 2020 Read More +

StradVision to Demonstrate Breakthroughs in Vision Processing and Perception Technology for Autonomous Vehicles at CES 2020

SAN JOSE, Calif., Jan. 6, 2020 /PRNewswire/ — When CES 2020 opens on Jan. 7 in Las Vegas for its four-day run, one major theme will be the visions of the technological future being presented by its many participants. StradVision, an industry leader in vision processing and perception technology for Autonomous Vehicles, will be on site

StradVision to Demonstrate Breakthroughs in Vision Processing and Perception Technology for Autonomous Vehicles at CES 2020 Read More +

StradVision to Demonstrate ADAS and Driver Monitoring in Ambarella Demonstration Vehicle During CES

StradVision’s advanced ADAS perception software running on Ambarella CV22 CVflow SoC will be displayed at CES 2020 SANTA CLARA, Calif., and SAN JOSE, Calif., Dec. 30, 2019 /PRNewswire/ — As the world descends on Las Vegas from January 7-10, 2020, to view the latest and greatest in automotive technology at CES 2020, two of the automotive

StradVision to Demonstrate ADAS and Driver Monitoring in Ambarella Demonstration Vehicle During CES Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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