… of lane detection, including traditional lane detection methods and related deep learning …
Around the above summary, we will discuss the existing deep learning-based lane detection …

… However, deep learning based methods … deep learning based approach for lane detection
problem which differs from the previous rule-decision based method in terms of lane detection …

… Deep learning has shown good performance in classifying … have actively applied deep
learning to lane detection. However… , a benchmarking deep-learning framework for lane detection …

… However, deep learning approaches are … a lane detection method using a light-weight
convolutional neural network model as a feature extractor exploiting the potential of deep learning …

… Lane detection plays a vital role in making the idea of the autonomous car a reality.
Traditional lane detection methods need extensive hand-crafted features and post-processing …

… 3 Deep learning of lane detection and path prediction Figure 2 illustrates the architecture
of our deep learning, lane detection, and path prediction algorithms implemented in TORCS …

… The detection of the lane line is one of the important contents… out the recent lane detection
algorithm and the deep learning … to detect the lane line, and using the object detection-based …

… a lane detection algorithm based on deep learning and … a lane to estimate the position of
the lane and also applied CNN to predict the lane boundary type and the exact location of a lane…

… In this paper, lane detection is treated as a segmentation task, in which a novel hybrid ST
sequence-to-one deep learning architecture is developed for lane detection through a …

… years, with the fast development of deep learning and the hardware support, a lot of lane …
, we proposed a lane detection method consists of two deep neural networks. The lane edge …