In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …

Lane is critical in the vision navigation system of the intelligent vehicle. Naturally, lane is a
traffic sign with high-level semantics, whereas it owns the specific local pattern which needs …

Methods for 3D lane detection have been recently proposed to address the issue of
inaccurate lane layouts in many autonomous driving scenarios (uphill/downhill, bump, etc.) …

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 …

Abstract 3D lane detection which plays a crucial role in vehicle routing, has recently been a
rapidly develo** topic in autonomous driving. Previous works struggle with practicality due …

We present ONCE-3DLanes, a real-world autonomous driving dataset with lane layout
annotation in 3D space. Conventional 2D lane detection from a monocular image yields …

Deep learning-based lane detection (LD) plays a critical role in autonomous driving
systems, such as adaptive cruise control. However, it is vulnerable to backdoor attacks …

In this paper, we revisit the limitations of anchor-based lane detection methods, which have
predominantly focused on fixed anchors that stem from the edges of the image, disregarding …

Lane detection (LD) is an essential component of autonomous driving systems, providing
fundamental functionalities like adaptive cruise control and automated lane centering …

State-of-the-art lane detection methods often rely on specific knowledge about lanes--such
as straight lines and parametric curves--to detect lane lines. While the specific knowledge …