CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention

Y Bai, Z Chen, P Liang, E Cheng - arXiv preprint arXiv:2402.06423, 2024 - arxiv.org
In autonomous driving, 3D lane detection using monocular cameras is an important task for
various downstream planning and control tasks. Recent CNN and Transformer approaches …

CaliFree3DLane: Calibration Free Spatio-Temporal BEV Representation for Monocular 3D Lane Detection

W Guo, C Li, K Li, P Lv, M Xu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Monocular 3D lane detection plays a crucial role in autonomous driving, assisting vehicles
in safe navigation. Existing methods primarily utilize calibrated camera parameters in the …

Multiple Tasks-Based Multi-Source Domain Adaptation Using Divide-and-Conquer Strategy

BH Ngo, YJ Chae, SJ Park, JH Kim, SI Cho - IEEE Access, 2023 - ieeexplore.ieee.org
In single-source unsupervised domain adaptation (SUDA), it is often assumed that a single-
source domain can cover all target domain features. However, the limitation of labeled …

PortLaneNet: A Scene-Aware Model for Robust Lane Detection in Container Terminal Environments

H Ye, Z Kang, Y Zhou, C Zhang, W Wang… - World Electric Vehicle …, 2024 - mdpi.com
In this paper, we introduce PortLaneNet, an optimized lane detection model specifically
designed for the unique challenges of enclosed container terminal environments. Unlike …

GaussianLaneNet: Enhancing Lane Instance Generation through Gaussian Curve Representation and Adaptive Threshold Method

X Zhu - 2024 5th International Seminar on Artificial Intelligence …, 2024 - ieeexplore.ieee.org
Lane detection technology is a critical component of autonomous driving, enabling precise
recognition of road markings to achieve accurate navigation and stable vehicle operation in …