Advanced spatial awareness is achieved by using StradVision's SVNet perception technology with Surround View Monitors

SEOUL, South Korea, Oct. 5, 2020 — (PRNewswire) —   StradVision will reveal its new Advanced Driver-Assistance Systems (ADAS) solution for automotive surround view monitoring at NVIDIA's 11th GPU Technology Conference (GTC) 2020.

The annual event, held online from October 5 to 9 this year due to COVID-19, has previously attracted more than 45,000 registered attendees. It brings together industry leaders, specialists, developers, researchers, engineers, and innovators looking to enhance their skills, exchange ideas, and gain a deeper understanding of how AI will transform their work.

Available to GTC's registered attendees as an on-demand presentation, StradVision Platform Engineer Kukhyun Cho's session will explain how the company's flagship product SVNet works with Surround View Monitors (SVMs) to form an accurate, 360-degree visualization of a vehicle's environment. Through a process called Edge Blending, the image edges from front, rear, left, and right cameras are seamlessly fused into one combined image.

This vision solution enables ADAS functions such as Automated Valet Parking (AVP) or Advanced Parking Assist (APA), using object detection, distance estimation, free space detection, and parking space detection.

Cho will also expand on how StradVision integrates six SVNet networks with SVM onto NVIDIA's Jetson Xavier system-on-chip (SoC) with TensorRT, a software development kit for deep learning inference. Known for its superior computing capabilities that are ideal for use with deep learning networks, the powerful Xavier AI platform enables SVNet to run the most advanced automotive Level 2 features, while generating a small footprint that will not overwhelm a vehicle's ADAS.

SVNet is a lightweight software that allows vehicles to detect and identify objects accurately, such as other vehicles, lanes, pedestrians, animals, free space, traffic signs, and lights, even in harsh weather conditions or poor lighting.

The software relies on deep learning-based embedded perception algorithms, which compared with its competitors is more compact and requires dramatically less memory and electricity to run. SVNet supports more than 14 hardware platforms and can also be customized and optimized for any other hardware system thanks to StradVision's patented and cutting-edge Deep Neural Network-enabled technology.

StradVision's software is currently deployed in 8.8 million vehicles worldwide, such as SUVs, sedans, trucks, and self-driving buses, and maintains partnerships with leading global automotive Tier 1 suppliers and five of the world's top auto OEMs. StradVision's global partners include Aisin Group, Hyundai Motor Group, LG Electronics, Texas Instruments, Renesas, Qualcomm, Xilinx, Socionext, Ambarella, and BlackBerry QNX.

StradVision has obtained certifications including China's Guobiao, the coveted ASPICE CL2 (Automotive Software Performance Improvement and Capability Determination Containment Level 2) certification, and most recently the internationally recognized ISO 9001:2015. The company also bagged the Grand Prize in the Electric/Electronic Category at the 14th Korea Patent Excellence Awards.

About StradVision
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 software is being deployed in 8.8 million vehicles worldwide and is serviced by their over 140 employees in Seoul, San Jose, Tokyo, and Munich. The company received the 2020 Autonomous Vehicle Technology ACES Award in Autonomy (Software Category). StradVision's software is certified to the ISO 9001:2015 international standard.

Media Contact
Root Communications for StradVision Inc.
Email: stradvision@rootcomms.com
Tel: +1 (347) 508-3103

 

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Company Name: StradVision Web: https://www.stradvision.com