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StradVision R&D Director to Reveal Insights into Optimizing Deep Neural Networks at 2020 Embedded Vision Summit
Woonhyun Nam to share how Deep Neural Networks can be matched with specialized processors and other machine learning applications at reduced cost and power consumption StradVision, whose AI-based camera perception software is a leading innovator in Advanced…
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StradVision Selects BlackBerry to Drive Advancements Across South Korean Automotive Industry
Agreement will accelerate the deployment of BlackBerry-powered ADAS and AVs for automotive suppliers and OEMs BlackBerry Limited (NYSE: BB; TSX: BB) today announced StradVision, an industry leader in AI-based camera perception technology, will utilize the QNX Software Development Platform within…
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The Autonomous Vehicles Podcast
https://www.autonomousvehiclespodcast.com/ Apple Podcasts: https://lnkd.in/dvqFyZsSpotify: https://lnkd.in/d-WnydBStitcher: https://lnkd.in/dC3qfFxGoogle Play Music: https://lnkd.in/dECrKB7
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StradVision to collaborate with leading custom SoC supplier Socionext to provide efficient ADAS solutions
The respective pioneers in AI-based camera perception software and System-on-Chip design and development will work together to bring state-of-the-art object recognition to the global automotive industry StradVision has announced a collaboration with Socionext Inc., a leading supplier of System-on-Chip…
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StradVision wins Grand Prize at 14th Korea Patent Excellence Awards
The award lauds the AI-based camera perception software developer as one of South Korea’s top patent-producing companies StradVision, whose AI-based camera perception software is a leading innovator in Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles, has…
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StradVision’s Pioneering SVNet Perception Software to Improve Road Safety on New Line of Changan SUVs in China
SVNet software to be paired with ultrasonic sensors on the CS75 Plus advanced driver assistance system in major milestone for StradVision StradVision, whose AI-based camera perception software is a leading innovator in Advanced Driver Assistance Systems (ADAS)…
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The Autonomous Vehicles Podcast
https://www.autonomousvehiclespodcast.com/ Apple Podcasts: https://lnkd.in/dvqFyZsSpotify: https://lnkd.in/d-WnydBStitcher: https://lnkd.in/dC3qfFxGoogle Play Music: https://lnkd.in/dECrKB7
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StradVision, Inc. A San Jose-based Vision Processing Technology Company, Uses Deep-Learning to Help Bring Cutting-Edge Self-Driving Vehicle Technology to the Masses
The Silicon Review “Our primary goal is to create a safe environment for drivers and passengers.” StradVision is an industry pioneer in vision processing technology, accelerating the advent of fully autonomous vehicles. With more than 100 employees…
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How StradVision uses PitchBook to find international investors and grow its business
Founded in 2014, StradVision is a South Korea-based software company that enables autonomous vehicles to recognize objects, understand what they are and know how to interact with them. In December 2019, it completed its Series B funding…
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StradVision Selected as ‘Top5 Korean Products of CES 2020’ with ‘SVNet Solution’
StradVision(CEO Junhwan Kim) showcased their ADAS(Advanced Driver Assistance Systems) system, optimized for the cutting-edge automobile market, at CES 2020 held in Las Vegas, USA, and was selected as one of the ‘Top5 Korean Products of CES 2020’.…
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Dr. Bong-nam Kang wins Best Paper Award at CVPR 2019!
StradVision’s algorithm engineer, Dr. Bong-nam Kang, won the Best Paper Award at CVPR 2019’s Biometrics Workshop about “Hierarchical Feature-Pair Relation Networks for Face Recognition”. This study will be applied to StradVision’s Driver Monitoring System, directly improving both…
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StradVision R&D Director to Reveal Insights into Optimizing Deep Neural Networks at 2020 Embedded Vision Summit
Woonhyun Nam to share how Deep Neural Networks can be matched with specialized processors and other machine learning applications at reduced cost and power consumption StradVision, whose AI-based camera perception software is a leading innovator in Advanced…
Read More
StradVision Selects BlackBerry to Drive Advancements Across South Korean Automotive Industry
Agreement will accelerate the deployment of BlackBerry-powered ADAS and AVs for automotive suppliers and OEMs BlackBerry Limited (NYSE: BB; TSX: BB) today announced StradVision, an industry leader in AI-based camera perception technology, will utilize the QNX Software Development Platform within…
Read More
StradVision to collaborate with leading custom SoC supplier Socionext to provide efficient ADAS solutions
The respective pioneers in AI-based camera perception software and System-on-Chip design and development will work together to bring state-of-the-art object recognition to the global automotive industry StradVision has announced a collaboration with Socionext Inc., a leading supplier of System-on-Chip…
Read More
StradVision wins Grand Prize at 14th Korea Patent Excellence Awards
The award lauds the AI-based camera perception software developer as one of South Korea’s top patent-producing companies StradVision, whose AI-based camera perception software is a leading innovator in Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles, has…
Read More
StradVision’s Pioneering SVNet Perception Software to Improve Road Safety on New Line of Changan SUVs in China
SVNet software to be paired with ultrasonic sensors on the CS75 Plus advanced driver assistance system in major milestone for StradVision StradVision, whose AI-based camera perception software is a leading innovator in Advanced Driver Assistance Systems (ADAS)…
Read More
StradVision Launches New Auto Labeling Tool to Enhance Road Safety While Optimizing AI Data
The cloud-based tool, based on StradVision’s SVNet software, automatically detects and labels 97% of objects 8x faster than a human labeler – and at a fraction of the cost StradVision, whose AI-based camera perception software is a…
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StradVision's perception technology enables vehicles to recognize images in and out of the car, bringing about the advent of self-driving for the masses.