StradVision, LG Develop Augmented Reality Based ADAS Solutions
StradVision's SVNet delivers Depth Map, Semantic Segmentation, and other key features for the implementation of AR-HUD.
StradVision has partnered with LG Electronics to develop the most advanced cockpit instrument platform, based on augmented reality solutions for the global automotive industry like in ADAS.
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.
StradVision’s SVNet delivers Depth Map, Semantic Segmentation, and other key features for the implementation of AR-HUD.
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.
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 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.
