StradVision to Demonstrate Latest Autonomous Vehicle and ADAS Software at CES 2022, including Augmented Reality Applications

AI-Based Camera Perception Software Firm offering private demonstrations of its latest technology, which also focuses on multi-channel camera systems, Parking Space Detection, and Object Detection

SEOUL, SOUTH KOREA — December 6, 2021 — StradVision, a leading innovator in AI-based camera perception software for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AVs), will be showcasing its latest developments for the automotive ecosystem — including new Parking Space detection features and vision perception for Augmented Reality applications — at CES 2022 in Las Vegas from Jan. 5-8, 2022.

“We are excited to highlight our latest developments in autonomous driving technology, some of which is currently on the road and some which you will see in future vehicles,” said Junhwan Kim, CEO of StradVision. “StradVision’s SVNet suite of is one of the most efficient vision processing solutions, offering groundbreaking AI-based recognition performance with less consumption of computing power, and we believe our solution will accelerate the arrival of autonomous driving vehicles into our daily lives.”

Among StradVision leadership attending CES will be CEO Junhwan Kim, COO Sunny Lee, Business Development Director Dean Kim and Sales Director Yearn Ha.

Among the technology StradVision plans to demonstrate at CES 2022 are:

  • SVNet for Driving
    • From Entry-level Smart Camera to L2+/L3 Multi-channel Camera system
    • Demo SoCs: TI TDA4x, Renesas R-Car V3H2.x, Ambarella CV22, Qualcomm SA8155, Nvidia Pegasus
  • SVNet for Parking
    • Object detection, Various Parking Space detection, Visual SLAM
  • SVNet for Augmented Reality Applications on Qualcomm SA8155
    • Depth map from mono camera, Semantic segmentation, Object detection, Lane detection
  • Collaborative Web-based Development Tools
    • Auto labeling and network training tool

StradVision is accelerating the advancement of autonomous vehicles through SVNet, an AI-based object recognition software. Compared to competitors, SVNet achieves much higher efficiency in memory usage and energy consumption and can be customized and optimized to any system on a chip (SoC), thanks to its patented and cutting-edge Deep Neural Network. The software also works seamlessly with other sensors such as LiDAR and RADAR.

SVNet is currently used in mass production models of ADAS and autonomous driving vehicles that support driving automation levels 2 to 4 and is being deployed in more than 50 vehicle models from 13 OEMs worldwide.

About StradVision Inc.

Founded in 2014, StradVision is an automotive industry pioneer in AI-based vision processing technology for Advanced Driver Assistance Systems (ADAS). The company is accelerating the advent of fully autonomous vehicles by making ADAS features available at a fraction of the market cost compared with competitors. StradVision’s SVNet software is being deployed on 50+ vehicle models in partnership with 13 OEMs and powers ADAS & Autonomous Vehicles worldwide, and is serviced by over 200 employees in Seoul, San Jose, Detroit, Tokyo, Shanghai and Munich. In addition, StradVision’s software is certified to the ISO 9001:2015 international standard. StradVision has been honoured with the Gold Award at the 2021 AutoSens Awards for Best-in-Class Software for Perception Systems, and the 2020 Autonomous Vehicle Technology ACES Award in Autonomy (Software Category). In addition, StradVision’s software is certified to the ISO 9001:2015 international standard.