Source: StradVision announcement
SEOUL — StradVision, a pioneer in AI-based vision processing technology for Autonomous Vehicles and ADAS systems, announced that it has teamed up with LG Electronics to develop the most advanced cockpit instrument platform, based on augmented reality solutions for the global automotive industry.
The two companies are cooperating closely for the advanced development of LG Electronics’ next-generation augmented reality solutions delivering industry-leading performance, stability, and efficiency that set the new standard for driving safety.
“LG Electronics is a strategic partner of StradVision, and we have long been cooperating in the development of the most advanced ADAS technology including the advanced development of LG Electronics’ DNN-based next-generation augmented reality solution. We look forward to further expanding our collaboration with LG Electronics to develop cutting-edge technologies for a safer road environment and discover new business opportunities,” said Junhwan Kim, StradVision CEO.
Automakers are paying more attention to the advantages of augmented reality solutions, Augmented Reality Head-Up Displays (AR-HUD) in particular, and are looking to adopt this technology across wide vehicle lineups.
This next-generation technology projects important road information such as navigation and various ADAS warnings into the line of sight of drivers, allowing them to keep their eyes on the road while also perceiving the surroundings accurately through real-time interaction with the objects in their path.
StradVision’s technology for augmented reality application, delivered by its camera perception software SVNet, is focused on improving visuals for head-up displays or center screens of automobiles. The software provides the most enhanced vision perception features, including:
• Depth-map Solution: The latest feature implementing innovative Pseudo LiDAR technology, which replaces high-cost and high-performance LiDAR equipment. Offering the high precision of distance measurement to an object with only a mono-channel camera
• Semantic Segmentation: A technology that classifies objects by analyzing the images acquired through the vehicle’s camera on a pixel-by-pixel basis through deep learning technology
To view the entire announcement, click HERE.