One of the essential systems in autonomous vehicles for ensuring a secure circumstance for
drivers and passengers is the Advanced Driver Assistance System (ADAS). Adaptive Cruise …

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

This study presents an approach to lane detection involving the prediction of binary
segmentation masks and per-pixel affinity fields. These affinity fields, along with the binary …

Recently, lane detection has made great progress with the rapid development of deep
neural networks and autonomous driving. However, there exist three mainly problems …

Road detection remains a captivating and crucial aspect of any form of autonomous driving.
In this manuscript, we furnish a comprehensive appraisal of recent advancements in road …

We present Laneformer, a conceptually simple yet powerful transformer-based architecture
tailored for lane detection that is a long-standing research topic for visual perception in …

Monocular 3D lane detection has become a fundamental problem in the context of
autonomous driving which comprises the tasks of finding the road surface and locating lane …

Lane marking detection is a fundamental but crucial step in intelligent driving systems. It can
not only provide relevant road condition information to prevent lane departure but also assist …

While supervised detection and classification frameworks in autonomous driving require
large labelled datasets to converge, Unsupervised Domain Adaptation (UDA) approaches …

The field of autonomous driving research has made significant strides toward achieving full
automation, endowing vehicles with self-awareness and independent decision making …