A deep learning-based semantic segmentation architecture for autonomous driving applications

A deep learning-based semantic segmentation architecture for autonomous driving applications

In recent years, the development of smart transportation has accelerated research on semantic segmentation as it is one of the most important problems in this area. A large receptive field has always been the center of focus when designing convolutional neural networks for semantic segmentation. A m...

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Bibliographic Details
Main Authors: Masood, Sharjeel, Ahmed, Fawad, Alsuhibany, Suliman A., Ghadi, Yazeed Yasin, Siyal, M. Y., Kumar, Harish, Khan, Khyber, Ahmad, Jawad
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
Autonomous Driving
Convolutional Neural Network
Online Access:https://hdl.handle.net/10356/161373

Internet

https://hdl.handle.net/10356/161373

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