Thursday, 29 September 2022

STERLING HEIGHTS, MICHIGAN ― StradVision, an AI-based vision processing technology company for Autonomous Vehicles and ADAS, announced that it has obtained the ISO 26262 certification for automotive functional safety from TÜV Rheinland, a globally renowned third-party testing, inspection and certification company.

The ISO 26262 certification was established as a global standard by the International Organization for Standardization (ISO) in 2011 to minimize risks from electric or electronic system malfunction in vehicles. StradVision, which recently unveiled its new North American headquarters in Sterling Heights, has been recognized as a software supplier with a high level of functional safety, satisfying automotive customers' demands by meeting the requirements of ISO 26262 throughout the development and management process of its camera perception software SVNet.

“The automotive industry is transforming into a new business that provides new mobility, transportation, and various experiences in the car as a service, and software is the most powerful driver of this change,” StradVision CEO Junhwan Kim said. “The acquisition of ISO 26262 Functional Safety Management certification demonstrates StradVision's competence as a global leader in software, a key component of future mobility innovation.”

Currently, the automotive industry is focused on adopting various driver assistance features in vehicles to improve safety and convenience for drivers and pedestrians. As the performance of semiconductors and adoption of diverse sensors in vehicles continues to increase, the importance of safety standards for software, and their level of sophistication, has also risen.

“StradVision has successfully built its management system that delivers camera perception software meeting the functional safety requirements for automakers and automotive tier-1 suppliers,” said Frank Juettner, CEO of TÜV Rheinland Korea. "We are pleased to present ISO 26262 certification for the software that will contribute to enhancing functional safety in the automotive industry.”

StradVision, established in 2014 in South Korea, continues to accelerate the advancement of Autonomous Vehicles. SVNet, its AI-based vision perception software, achieves higher efficiency in memory usage and energy consumption and can be customized and optimized to any system on a chip (SoC).

The software that has been honored with the Gold Award at the 2021 AutoSens Awards for Best-in-Class Software for Perception Systems is currently used in mass production models of ADAS and autonomous driving vehicles that support safety function Levels 2 to 4, and will be deployed in more than 50 vehicle models from 13 OEMs worldwide.

StradVision Appoints Sunghyun Chang as Chief Financial Officer  

StradVision has also announced the appointment of Sunghyun Chang as Chief Financial Officer (CFO). In this position, Chang will lead StradVision’s financial team and is responsible for corporate financial actions and strategic growth initiatives, as well as investor relations.

StradVision expects to further strengthen its overseas business capabilities by recruiting Chang, who has accumulated experience in international financial management throughout his career.

“This year, we plan to expand our business in key markets where major automakers are located, including North America, and for this, we want to strengthen investment and recruitment in overseas subsidiaries,” StradVision CEO Junhwan Kim said. “We anticipate that the appointment of Sunghyun Chang, Chief Financial Officer, who has experience in financial management in various industries, will give us greater strength to achieve this strategic goal.”

Chang is a finance expert who started his career at KPMG, one of the four largest accounting firms in Korea. During his tenure at KPMG, Chang served as an overseas dispatcher in Europe for three years. Since then, he has worked for various companies and industries such as Anheuser-Busch InBev, the world's largest brewer; Gencurix, a molecular diagnostic solutions company, and B2Link, a K-beauty commerce company.

Chang holds a U.S. Charted Financial Analyst (CFA) certificate in addition to his Certified Public Accountant (CPA) qualification, and has been mainly in charge of financial management of multinational corporations, attracting foreign investment for startups, and managing investor relations.

Published in NEWS

StradVision announced that it has teamed up with LG Electronics to develop the an advanced cockpit instrument platform, based on augmented reality solutions, for the global automotive industry.

The two companies are cooperating closely for the advanced development of LG Electronics’ next-generation augmented reality solutions delivering industry-leading performance, stability, and efficiency that set the new standard for driving safety.  

“LG Electronics is a strategic partner of StradVision, and we have long been cooperating in the development of the most advanced ADAS technology including the advanced development of LG Electronics’ DNN-based next-generation augmented reality solution. We look forward to further expanding our collaboration with LG Electronics to develop cutting-edge technologies for a safer road environment and discover new business opportunities,” said Junhwan Kim, StradVision CEO.

Published in NEWS

StradVision, a pioneer in AI-based vision processing technology for Autonomous Vehicles and ADAS systems, has announced that it provides its camera perception software SVNet for LG Electronics’ latest ADAS Front Camera System.    

As a software solution provider, StradVision closely cooperated with LG Electronics to support its development of an algorithm implementing various ADAS functions. For the various safety functions delivered by LG Electronics' ADAS Front Camera System, StradVision offered full customization of Object Detection and Free Space Detection.

Published in TECHNOLOGY

Editor's Note: In the article below, StradVision CEO Junhwan Kim talks about the advances being made in autonomous vehicle safety, and what it will take to get that technology to the masses in the coming years.

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By Junhwan Kim, StradVision CEO  

As the number of vehicles around the world rapidly expands, the occurrence of traffic accidents and their fatality rate is increasing. According to the World Health Organization, more than 1.3 million people worldwide die in road accidents every year, and traffic accidents kill one person every 24 seconds.

An increase in the number of elderly drivers is also emerging as a new concern. In most developed countries, the proportion of elderly drivers over the age of 65 started to increase steadily in the 2000s, and by 2019, it increased by more than 50 percent. For example, the number of drivers over the age of 65 in the U.S., compiled by the U.S. NHTSA in 2019, exceeded 54.1 million, which is a significant increase of 35% compared to 2010. The reason we need to prepare for the aging of drivers is because of the high fatality rate in that age range, compared to other age groups in the event of a traffic accident. According to a survey of senior driver safety conducted by RAND Corporation, these drivers over the age of 65 have a lower accident rate than the average adult driver, but are 573% more likely to die in an accident.

Many countries are devising automobile safety policies to reduce traffic accidents and mortality, and recommend that automakers reflect these safety policies in driving technology. In response to these changes in government policy, OEMs are expanding the introduction of the Advanced Driver Assistance Systems (ADAS) for the safety of drivers and pedestrians. According to data released in 2021 by Strategy Analytics, the global ADAS industry size has already exceeded $20 billion in 2020 and is expected to reach $49.3 billion by 2025, a rapid growth rate of 17.7% per year.

Published in TECHNOLOGY

StradVision, a pioneer in AI-based vision processing technology for Autonomous Vehicles and ADAS systems, today announced that it will introduce 'Sensor Fusion', a groundbreaking perception technology with significant precision improvement compared to existing technology, through a collaboration with Vueron Technology, a leading South Korean provider of Lidar perception software and autonomous driving technology. 

This technology is powered by StradVision's AI-based camera perception software 'SVNet' and Vueron Technology's Lidar -based perception solution 'View.One'. Working together, the two companies plan to deliver industry-leading ‘Sensor Fusion’ technology to the global automotive industry. This next-generation solution combines the camera’s advantages in object classification and lane detection with Lidar’s advantages in object detection and velocity prediction.

“We are excited to announce our collaboration with Vueron Technology for this innovative technology that is highly anticipated in the automobile industry. We believe that ‘Sensor Fusion’ can dramatically improve the limitations of the existing perception technology. We will work closely to prove our technology and provide the most advanced solutions to the automotive industry”, said Junhwan Kim, CEO of StradVision.

Published in TECHNOLOGY

StradVision, a leading innovator in AI-based camera perception software for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles, announced that its SVNet software has achieved ISO 27001:2013 certification — a recognition of its proven commitment to the highest level of information security management. 

ISO 27001:2013 is one of the most widely recognized and internationally accepted information security standards — mandating continuous controls of operations, monitoring, maintenance and continuous improvement of the information security management system.

StradVision’s AI-based object recognition software, SVNet, is currently used in mass production models of ADAS and autonomous driving vehicles that support SAE Levels 2 to 4, and will be deployed in more than 8.8 million vehicles worldwide.

Published in TECHNOLOGY

Renesas Electronics Corporation, a supplier of advanced semiconductor solutions, and StradVision, Inc., a vision processing technology solutions provider for autonomous vehicles with expertise in deep learning, have announced the joint development of a deep learning-based object recognition solution for smart cameras used in next-generation advanced driver assistance system (ADAS) applications and cameras for ADAS Level 2 and above.

To avoid hazards in urban areas, next-generation ADAS implementations require high-precision object recognition capable of detecting so-called vulnerable road users (VRUs) such as pedestrians and cyclists. At the same time, for mass-market mid-tier to entry-level vehicles, these systems must consume very low power. The new solution from Renesas and StradVision achieves both and is designed to accelerate the widespread adoption of ADAS.

“A leader in vision processing technology, StradVision has abundant experience developing ADAS implementations using Renesas’ R-Car SoCs, and with this collaboration, we are enabling production-ready solutions that enable safe and accurate mobility in the future,” said Naoki Yoshida, Vice President of Renesas’ Automotive Technical Customer Engagement Business Division. “This new joint deep learning-based solution optimized for R-Car SoCs will contribute to the widespread adoption of next-generation ADAS implementations and support the escalating vision sensor requirements expected to arrive in the next few years.”

Published in TECHNOLOGY

Accurate vision processing software is critical for the development of autonomous vehicles in the mass market, and at the core of this technology is strong deep-learning ability of the camera software.

Sunny Lee, COO at StradVision, spoke at the Autotech Council Meeting: Sensor Innovation for Transportation and Mobility at the Sensors Expo & Conference in San Jose about the bold advances being made in camera technology for autonomous vehicles.

Lee spoke about the breakthroughs being made via StradVision’s lean SVNet software, which can be run on automotive chipsets at significantly more affordable cost levels. StradVision aims to provide the first deep learning-based software provider fully compatible with Automotive Safety Integrity Level B (ASIL B), for functional safety.

Published in TECHNOLOGY

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