Vehicle detection systems for intelligent driving using deep convolutional neural networks

Vehicle detection systems for intelligent driving using deep convolutional neural networks

Abstract In the paper, a vision-based vehicle identification system is proposed for autonomous intelligent car driving. The accurate detection of obstacles (vehicles) during intelligent car driving allows avoiding crashes, preventing accidents, saving people’s lives and reducing harm. The vehicle de...

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Bibliographic Details
Main Authors: Rahib Abiyev, Murat Arslan
Format: Article
Language:English
Published: Springer 2023-05-01
Series:Discover Artificial Intelligence
Subjects:
Deep learning
Convolutional neural network
Computer vision
Vehicle detection
Intelligent vehicles
Online Access:https://doi.org/10.1007/s44163-023-00062-8

Internet

https://doi.org/10.1007/s44163-023-00062-8

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