Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification. (arXiv:2206.07389v1 [cs.CV])

Modern methods mainly regard lane detection as a problem of pixel-wise
segmentation, which is struggling to address the problems of efficiency and
challenging scenarios like severe occlusions and extreme lighting conditions.
Inspired by human perception, the recognition of lanes under severe occlusions
and extreme lighting conditions is mainly based on contextual and global
information. Motivated by this observation, we propose a novel, simple, yet
effective formulation aiming at ultra fast speed and the problem of challenging
scenarios. Specifically, we treat …

anchor arxiv classification cv detection hybrid ordinal