SVNet, Deep Learning Embedded Software by STRADVISION

STRADVISION’s SVNet is a hardware-optimized software for ADAS 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. To achieve surround vision, SVNet’s camera and deep learning-based capabilities work seamlessly with other sensors, such as LiDAR and RADAR, to process collected road data with high speed and accuracy. The software also enables ADAS features such as Adaptive Cruise Control, Lane Keeping Assist, Forward Collision Warning, Automatic Parking Assist to be more precise and reliable than other solutions on the market.