[HTML][HTML] Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation: A review

W Chen, W Wang, K Wang, Z Li, H Li, S Liu - Journal of traffic and …, 2020 - Elsevier
Recently, the development and application of lane line departure warning systems have
been in the market. For any of the systems, the key part of lane line tracking, lane line …

Milestones in autonomous driving and intelligent vehicles: Survey of surveys

L Chen, Y Li, C Huang, B Li, Y Xing… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Instagram: Instance-level graph modeling for vectorized hd map learning

J Shin, H Jeong, F Rameau… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
For scalable autonomous driving, a robust map-based localization system, independent of
GPS, is fundamental. To achieve such map-based localization, online high-definition (HD) …

A hybrid spatial–temporal deep learning architecture for lane detection

Y Dong, S Patil, B Van Arem… - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Accurate and reliable lane detection is vital for the safe performance of lane‐keeping
assistance and lane departure warning systems. However, under certain challenging …

A review of UTDrive studies: Learning driver behavior from naturalistic driving data

Y Liu, JHL Hansen - IEEE Open Journal of Intelligent …, 2021 - ieeexplore.ieee.org
Intelligent vehicles and Advanced Driver Assistance Systems (ADAS) are being developed
rapidly over the past few years. Many applications such as vehicle localization, environment …

HoughLaneNet: Lane detection with deep hough transform and dynamic convolution

JQ Zhang, HB Duan, JL Chen, A Shamir, M Wang - Computers & Graphics, 2023 - Elsevier
The task of lane detection has garnered considerable attention in the field of autonomous
driving due to its complexity. Lanes can present difficulties for detection, as they can be …

Drmnet: A multi-task detection model based on image processing for autonomous driving scenarios

J Zhao, D Wu, Z Yu, Z Gao - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
To improve the efficiency and accuracy of autonomous driving vehicles' perception of the
external environment, a multi-task detection model DRMNet (Dual-resolution Multi-task …

MFIALane: Multiscale feature information aggregator network for lane detection

Z Qiu, J Zhao, S Sun - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Lane detection differs from general object detection in that lane lines are usually long and
narrow in the road image, and more attention to image features at different scales is required …

An efficient approach for highway lane detection based on the Hough transform and Kalman filter

S Kumar, M Jailia, S Varshney - Innovative infrastructure solutions, 2022 - Springer
The advances in lane detection technologies and computer vision enabled the evolution of
lane-keeping systems, driver assistance and lane departure warning in traffic management …

Lane-GAN: A robust lane detection network for driver assistance system in high speed and complex road conditions

Y Liu, J Wang, Y Li, C Li, W Zhang - Micromachines, 2022 - mdpi.com
Lane detection is an important and challenging part of autonomous driver assistance
systems and other advanced assistance systems. The presence of road potholes and …