StradVision and Socionext jointly provide efficient and convenient ADAS solutions

StradVision, a provider of autonomous driving vision processing technology solutions, announced that it has joined hands with Socionext to jointly develop deep learning-based object recognition solutions to provide the most advanced object detection and recognition technology to the Advanced Driver Assistance System (ADAS) and autonomous driving markets. SVNet, pioneered by StradVision, has a compact structure and requires less memory capacity and power consumption to run. SVNet has been adopted by mass-produced models equipped with ADAS and autonomous driving levels from L2 to L4, and has been deployed in more than 9 million vehicles worldwide. Socionext provides a wide range of in-vehicle customization services, including camera sensors, lidar, camera ISP (DSM fatigue driving monitoring), integrated human-machine interaction, regulators, rear-seat entertainment, ETC and V2X, which can basically cover L2/L3 autonomous driving solutions and help customers' products achieve large-scale commercialization. In the past five years, Socionext has shipped more than 36 million chips and provided a variety of innovative and personalized solutions to global automakers.