A review of lane detection methods based on deep learning
J Tang, S Li, P Liu - Pattern Recognition, 2021 - Elsevier
Lane detection is an application of environmental perception, which aims to detect lane
areas or lane lines by camera or lidar. In recent years, gratifying progress has been made in …
areas or lane lines by camera or lidar. In recent years, gratifying progress has been made in …
Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
End-to-end lane shape prediction with transformers
Lane detection, the process of identifying lane markings as approximated curves, is widely
used for lane departure warning and adaptive cruise control in autonomous vehicles. The …
used for lane departure warning and adaptive cruise control in autonomous vehicles. The …
Lanenet: Real-time lane detection networks for autonomous driving
Lane detection is to detect lanes on the road and provide the accurate location and shape of
each lane. It severs as one of the key techniques to enable modern assisted and …
each lane. It severs as one of the key techniques to enable modern assisted and …
A review of recent advances in lane detection and departure warning system
Statistics show that worldwide motor vehicle collisions lead to significant deaths and
disabilities as well as substantial financial costs to both society and the individuals involved …
disabilities as well as substantial financial costs to both society and the individuals involved …
Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection
Deep learning has received significant attention recently as a promising solution to many
problems in the area of artificial intelligence. Among several deep learning architectures …
problems in the area of artificial intelligence. Among several deep learning architectures …
Advances in vision-based lane detection: Algorithms, integration, assessment, and perspectives on ACP-based parallel vision
Lane detection is a fundamental aspect of most current advanced driver assistance systems
(ADASs). A large number of existing results focus on the study of vision-based lane …
(ADASs). A large number of existing results focus on the study of vision-based lane …
Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps
Accurate high-definition maps with lane markings are often used as the navigation back-end
for commercial autonomous vehicles. Currently, most high-definition maps are manually …
for commercial autonomous vehicles. Currently, most high-definition maps are manually …
Lane detection under artificial colored light in tunnels and on highways: an IoT-based framework for smart city infrastructure
Lane detection (LD) under different illumination conditions is a vital part of lane departure
warning system and vehicle localization which are current trends in the future smart cities …
warning system and vehicle localization which are current trends in the future smart cities …
[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 …
been in the market. For any of the systems, the key part of lane line tracking, lane line …