Vectorized high-definition map online construction has garnered considerable attention in
the field of autonomous driving research. Most existing approaches model changeable map …

High-definition (HD) map provides abundant and precise environmental information of the
driving scene, serving as a fundamental and indispensable component for planning in …

Vectorized high-definition map (HD-map) construction, which focuses on the perception of
centimeter-level environmental information, has attracted significant research interest in the …

Monocular 3D lane detection is a challenging task due to its lack of depth information. A
popular solution is to first transform the front-viewed (FV) images or features into the bird-eye …

Abstract 3D lane detection from monocular images is a fundamental yet challenging task in
autonomous driving. Recent advances primarily rely on structural 3D surrogates (eg, bird's …

High-definition (HD) map provides abundant and precise static environmental information of
the driving scene, serving as a fundamental and indispensable component for planning in …

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 …

A novel algorithm to detect road lanes in videos, called recursive video lane detector
(RVLD), is proposed in this paper, which propagates the state of a current frame recursively …

3D lane detection is an integral part of au-tonomous driving systems. Previous CNN and
Transformer-based methods usually first generate a bird's-eye-view (BEV) feature map from …

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 …