Automatic lane marking prediction using convolutional neural network and S-Shaped Binary Butterfly Optimization

Lane detection is a technique that uses geometric features as an input to the autonomous vehicle to automatically distinguish lane markings. To process the intricate features present in the lane images, traditional computer vision (CV) techniques are typically time-consuming, need more computing res...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 78; no. 3; pp. 3715 - 3745
Main Authors:	Alajlan, Abrar Mohammed, Almasri, Marwah Mohammad
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.02.2022 Springer Nature B.V
Subjects:	Accuracy Algorithms Artificial neural networks Classification Compilers Computer Science Computer vision Interpreters Marking Mathematical models Neural networks Optimization Parameters Performance evaluation Processor Architectures Programming Languages Hyperparameter optimization Lane detection Binary optimization Autonomous cars Convolutional neural network
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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