LaneCorrect: Self-supervised Lane Detection

arXiv:2404.14671v1 Announce Type: new
Abstract: Lane detection has evolved highly functional autonomous driving system to understand driving scenes even under complex environments. In this paper, we work towards developing a generalized computer vision system able to detect lanes without using any annotation. We make the following contributions: (i) We illustrate how to perform unsupervised 3D lane segmentation by leveraging the distinctive intensity of lanes on the LiDAR point cloud frames, and then obtain the noisy lane labels in the 2D …

abstract annotation arxiv autonomous autonomous driving autonomous driving system computer computer vision cs.cv detection driving environments functional generalized lane detection paper type unsupervised vision work