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...
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: | |
Online Access: | https://hdl.handle.net/10356/161373 |
Similar Items
-
Prioritized experience-based reinforcement learning with human guidance for autonomous driving
by: Wu, Jingda, et al.
Published: (2024) -
Safety-aware human-in-the-loop reinforcement learning with shared control for autonomous driving
by: Huang, Wenhui, et al.
Published: (2025) -
Application of deep learning for enhancing simultaneous localization and mapping in autonomous driving
by: Ge, Jintian
Published: (2024) -
A personalized behavior learning system for human-like longitudinal speed control of autonomous vehicles
by: Lu, Chao, et al.
Published: (2020) -
Towards autonomous driving : review and perspectives on configuration and control of four-wheel independent drive/steering electric vehicles
by: Hang, Peng, et al.
Published: (2021)