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 …

This paper presents a novel parametric curve-based method for lane detection in RGB
images. Unlike state-of-the-art segmentation-based and point detection-based methods that …

Modern lane detection methods have achieved remarkable performances in complex real-
world scenarios, but many have issues maintaining real-time efficiency, which is important …

Modern deep-learning-based lane detection methods are successful in most scenarios but
struggling for lane lines with complex topologies. In this work, we propose CondLaneNet, a …

Lane detection is a challenging task that requires predicting complex topology shapes of
lane lines and distinguishing different types of lanes simultaneously. Earlier works follow a …

The high cost of pavement detection equipment has constrained its application. Existing
pieces of lightweight detection equipment still face the problem of integrated installation …

Perception techniques for autonomous driving should be adaptive to various environments.
In essential perception modules for traffic line detection, many conditions should be …

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 …

Mainstream lane marker detection methods are implemented by predicting the overall
structure and deriving parametric curves through post-processing. Complex lane line …

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 …