P

anasonic Automotive has recently announced a revolutionary collaboration with Phiar, developers of spatial AI and Augmented Reality technology. 

Phiar specialise in developing AI driven Augmented Reality navigation systems to improve safety and navigation support for drivers, utilising map and navigation data from the leading map platforms to offer live visual navigation with traffic and other contextual data.

The company’s deep learning AI technology runs on automotive infotainment systems, detects and analyzes a driver’s surroundings in real-time, and combines it with 3D localisation of the vehicle to provide augmented navigation and safety information. Phiar have created deep neural networks from years of cutting-edge AI research, which analyzes the visual environment, using only a single mobile grade camera, and runs on commodity automotive platforms completely on-the-edge without any cloud or peripheral processing.

Panasonic Automotive’s Chief Technology Officer, Andrew Poliak, stated: 

‚ÄúPanasonic looks for products that have the flexibility to integrate multiple solutions depending on our OEM customer requirements, and we liked that Phiar can work with any map or routing solution,‚ÄĚ

Poliak continued: 

‚ÄúPhiar‚Äôs technology provides the glue that links Panasonic‚Äôs key technologies to deliver a superior solution with object and pedestrian detection, scene understanding and AI-driven AR Navigation ‚Äď a perfect fit for OEMs looking to make advances in the next generation of in-vehicle user experience.‚ÄĚ

Phiar’s next generation of deep learning technology offers real-time road understanding and detection AI with breakthrough speed and precision. Providing the most natural visual navigation and safety assistance on the market.

Posted 
Nov 23, 2020
 in 
Latest News
 category

More from 

Latest News

 category

View All

Join the Rocker community and stay up-to-date with the latest AR news

No spam ever. Read our Privacy Policy
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.