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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	The Journal of supercomputing Ročník 78; číslo 3; s. 3715 - 3745
Hlavní autori:	Alajlan, Abrar Mohammed, Almasri, Marwah Mohammad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.02.2022 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!