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 …
Condlanenet: a top-to-down lane detection framework based on conditional convolution
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 …
struggling for lane lines with complex topologies. In this work, we propose CondLaneNet, a …
[HTML][HTML] A review of occluded objects detection in real complex scenarios for autonomous driving
Autonomous driving is a promising way to future safe, efficient, and low-carbon
transportation. Real-time accurate target detection is an essential precondition for the …
transportation. Real-time accurate target detection is an essential precondition for the …
Robust lane detection via expanded self attention
The image-based lane detection algorithm is one of the key technologies in autonomous
vehicles. Modern deep learning methods achieve high performance in lane detection, but it …
vehicles. Modern deep learning methods achieve high performance in lane detection, but it …
Lane detection and classification using cascaded CNNs
Lane detection is extremely important for autonomous vehicles. For this reason, many
approaches use lane boundary information to locate the vehicle inside the street, or to …
approaches use lane boundary information to locate the vehicle inside the street, or to …
Deep learning in lane marking detection: A survey
Y Zhang, Z Lu, X Zhang, JH Xue… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …
not only provide relevant road condition information to prevent lane departure but also assist …
Ripple-GAN: Lane line detection with ripple lane line detection network and Wasserstein GAN
Y Zhang, Z Lu, D Ma, JH Xue… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With artificial intelligence technology being advanced by leaps and bounds, intelligent
driving has attracted a huge amount of attention recently in research and development. In …
driving has attracted a huge amount of attention recently in research and development. In …
VLDNet: Vision-based lane region detection network for intelligent vehicle system using semantic segmentation
Detection of lane region under the road boundary is an imperative module for intelligent
vehicle system. Lane markings provide separate regions on the road for the vehicles to …
vehicle system. Lane markings provide separate regions on the road for the vehicles to …
[HTML][HTML] A comprehensive review on lane marking detection using deep neural networks
Lane marking recognition is one of the most crucial features for automotive vehicles as it is
one of the most fundamental requirements of all the autonomy features of Advanced Driver …
one of the most fundamental requirements of all the autonomy features of Advanced Driver …
Lane detection model based on spatio-temporal network with double convolutional gated recurrent units
Lane detection is one of the indispensable and key elements of self-driving environmental
perception. Many lane detection models have been proposed, solving lane detection under …
perception. Many lane detection models have been proposed, solving lane detection under …