A study on real-time semantic segmentation algorithms in autonomous driving environments based on YOLOv8
A real-time semantic segmentation algorithm based on an improved YOLOv8 network architecture, aiming to address the balance between inference time and pixel-level classification accuracy in edge perception computing for autonomous driving, achieves matrix dimensionality reduction for redundant spatial parameters.