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

• المؤلفون الرئيسيون: Masood, Sharjeel, Ahmed, Fawad, Alsuhibany, Suliman A., Ghadi, Yazeed Yasin, Siyal, M. Y., Kumar, Harish, Khan, Khyber, Ahmad, Jawad
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Autonomous Driving; Convolutional Neural Network
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161373

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...