Vision processing pioneer will be demonstrating latest application for ADAS programs and AVs on-web site at Novi celebration, Nov. 16-17

NOVI, Mich., Nov. 12, 2021 /PRNewswire/ — StradVision, a chief in personal computer vision technological innovation for Autonomous Cars and ADAS programs, is demonstrating its latest systems on-site Nov. 16-17 at Automotive Tech 7 days 2021, which will be held at the Suburban Selection Showplace, 46100 Grand River Avenue in Novi.

The weeklong Automotive Tech Week 2021 explores the most recent know-how tendencies staying embraced by primary players in the automotive earth – together with electrification and autonomy. New systems for ADAS methods that StradVision will unveil and exhibit at the celebration are:

  • Depth-map Option: The newest aspect utilizing ground breaking Pseudo LiDAR technology, which replaces superior-charge and high-functionality LiDAR equipment. Supplying the substantial precision of length measurement to an item with only a mono-channel camera

  • Semantic Segmentation: A technology that classifies objects by analyzing the photos obtained via the vehicle’s digital camera on a pixel-by-pixel foundation through deep mastering technologies

  • Multi-digicam 360-diploma perception: This technology makes use of up to 9 cameras, which is crucial to carry out autonomous driving features of L3 or above, these types of as Automated Valet Parking (AVP), and Enhanced Autopilot

“I glimpse ahead to our time at Automotive Tech 7 days 2021, and showcasing the revolutionary systems StradVision is unveiling at the celebration,” Sunny Lee, StradVision’s Chief Functioning Officer who is primary StradVision’s crew at the celebration mentioned. “As we continue to ramp up our existence in Michigan, the coronary heart of U.S. auto industry, situations like this allow us get our item in front of important industry leaders who are on board with our mission of employing technology to achieve the most secure achievable encounters with ADAS units and autonomous driving.”

StradVision’s SVNet is a lightweight program that enables motor vehicles to detect and establish objects properly, this kind of as other automobiles, lanes, pedestrians, animals, free house, targeted visitors indications, and lights, even in severe weather conditions situations or lousy lights.

SVNet’s software package depends on deep studying-centered notion algorithms, which in comparison with its opponents is a lot more compact and involves considerably less memory and electrical power to operate. SVNet supports much more than 14 hardware platforms and can also be custom made and optimized for any other components technique thanks to StradVision’s patented and reducing-edge Deep Neural Network-enabled engineering.

SVNet is presently utilized in mass generation designs of ADAS and autonomous driving autos that assist driving automation amounts 2 to 4 and is being deployed in above 50 auto designs from 13 OEMs around the world.

The full Automotive Tech 7 days 2021 celebration runs on the web from Nov. 15-19, and in-person hrs will be on-website in Novi from 8 a.m. to 4 p.m. on Nov. 16 and Nov. 17. StradVision will be positioned at Booth #743 at the event each days.

About StradVision Inc.
Launched in 2014, StradVision is an automotive sector pioneer in AI-based mostly vision processing know-how for Sophisticated Driver Help Techniques (ADAS). The business is accelerating the arrival of absolutely autonomous cars by generating ADAS attributes out there at a portion of the sector charge when compared with rivals. StradVision’s SVNet is remaining deployed on 50+ motor vehicle products in partnership with 13 OEMs and powers ADAS & Autonomous Automobiles worldwide and is serviced by around 200 employees in Seoul, Detroit, San Jose, Tokyo, Shanghai, and Munich. The corporation obtained the 2020 Autonomous Motor vehicle Technological innovation ACES Award in Autonomy (Software program Classification). In addition, StradVision’s application is qualified to the ISO 9001:2015 intercontinental normal.



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Source StradVision

By Tara