Panasonic collaborates with Phiar to bring real-world AI-driven Augmented Reality navigation to its automotive solutions

In Augmented Reality News 

November 21, 2020 – Panasonic Automotive Systems Company of America (Panasonic Automotive), a division of Panasonic Corporation of North America, a tier one global automotive supplier, has this week announced a collaboration with Phiar, developers of edge a spatial-AI technology and augmented reality (AR) navigation platform, to expand driver safety and navigation support in its automotive solutions.

Phiar’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 localization of the vehicle to provide augmented guidance and safety information. Phiar utilizes map and navigation data from the leading map platforms to offer live visual navigation with traffic and other contextual data.

Demo of Panasonic and Phiar’s in-vehicle augmented navigation solution in Vancouver, BC.

“Panasonic 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,” said Andrew Poliak, Chief Technology Officer for Panasonic Automotive. “Phiar’s technology provides the glue that links Panasonic’s key technologies to deliver a superior solution with object and pedestrian detection, scene understanding and AI-driven AR Navigation – a perfect fit for OEMs looking to make advances in the next generation of in-vehicle user experience.”

For more information Panasonic Automotive solutions, please visit the company’s website. For more information on Phiar and its AI and AR-based automotive solutions, please click here.

Image / video credit: Panasonic Automotive / Phiar / YouTube

About the author

Sam Sprigg

Sam is the Founder and Managing Editor of Auganix. With a background in research and report writing, he covers news articles on both the AR and VR industries. He also has an interest in human augmentation technology as a whole, and does not just limit his learning specifically to the visual experience side of things.