Results 231 to 240 of about 7,145,619 (284)

Dephosphorylation-regulated MNAzyme-PER cascade as a programmable converter for multi-task molecular actuation. [PDF]

J Nanobiotechnology
Zhang Y, Zhang Y, Jiang J, Bai D, Zhang L, Wang L, Hu X, Pu J, He Y, Han X, Wang W, Yin N, Lin X, Liu X, Chen T, Guo Y, Xie G.   +16 more
europepmc   +1 more source

Lutjanus synagris (Linnaeus 1758) age-based life history using a multi-model inference approach for growth in the southern Gulf of Mexico. [PDF]

PLoS One
Cervantes-Camacho I, Renán X, Galindo-Cortes G, Colás-Marrufo T, Noh-Quiñones V, Brulé T.   +5 more
europepmc   +1 more source

Active inference as a model of collision avoidance behavior in human drivers. [PDF]

Nat Commun
Schumann JF, Engström J, Johnson L, O'Kelly M, Messias J, Kober J, Zgonnikov A.   +6 more
europepmc   +1 more source

Identification and Characterization of a Novel Linear B-Cell Epitope Within the ASFV pB602L Protein for Serological Diagnosis. [PDF]

Microorganisms
Chen B, Zhou J, Liu H, Liu X, Wang H, Bai L, Wei J, Guo Y, Lu Y, Wang A.   +9 more
europepmc   +1 more source

Lane line detection by using Hough Transform

2018 26th Signal Processing and Communications Applications Conference (SIU), 2018
In this study, a mixed approach is proposed to increase the detection success of lane-line especially for heavily shaded road images. These kinds of studies are the basis of lane departure warning and lane keeping assistance systems. Accurate and automatic detection is an important feature for reducing the accident risk and increasing driving safety ...
Hale Yenginer, Hayriye Korkmaz
openaire   +2 more sources

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A Lane Line Detection Algorithm Based on Convolutional Neural Network

Communications in Computer and Information Science, 2021
This paper presents an algorithm for lane line detection based on convolutional neural network. The algorithm adopts the structural mode of encoder and decoder, in which the encoder part uses VGG16 combined with cavity convolution as the basic network to extract the features of lane lines, and the cavity convolution can expand the receptive field ...
Ling Ding, Zhuoran Xu, JiaFei Zong, Jinsheng Xiao, Chen Shu, Bin Xu   +5 more
exaly   +2 more sources

Lane Line Detection Based On YOLOv4

2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2021
Autonomous driving has always been a hot topic, but there is still a long way to go before fully autonomous driving. Autonomous driving includes four core technologies, which are environment awareness, precise positioning, path planning and drive-by-wire execution.
Yuling Ding, Wanlin Li, Yameng Zhu
openaire   +1 more source

Lane Line Detection based on Machine Vision

2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS), 2022
Xiangyan Yan, Zining Wang, Jinxin Yang
exaly   +2 more sources

A Review of Lane Line Detection Research

2024 9th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
Hao Wang, Yuyang Gu
exaly   +2 more sources

LLNet: A Lightweight Lane Line Detection Network

2021
The lane line detection methods based on semantic segmentation networks have achieved remarkable results in recent years. However, the semantic segmentation networks are aimed at the pixel level. These methods have a large amount of computation, which can reduce the real-time performance.
Lu Zhang 0025, Bin Kong, Can Wang
openaire   +2 more sources