Paper Contents
Abstract
the recent developments in semantic segmentation techniques tailored for autonomous driving applications. Autonomous driving technologies have witnessed rapid advancements in recent years, and semantic segmentation plays a pivotal role in providing a detailed understanding of the surrounding environment. This review paper presents a comprehensive analysis of the state-of-the-art techniques and methodologies in semantic segmentation for autonomous vehicles. The paper surveys a wide range of literature, spanning from classic computer vision approaches to contemporary deep learning models.
Copyright
Copyright © 2024 Kavya B A. This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS40100002817
ISSN:
2321-9653
Publisher:
ijprems