Year: 2024
Type: article
Abstract: This paper explores the impact of Artificial Intelligence (AI) on the development of autonomous driving, highlighting advancements, challenges, and future directions. The roles of adaptive learning, sensor fusion, and energy efficiency in improving vehicle autonomy are analyzed, drawing on case studies from Tesla and Waymo to illustrate real-world applications. Despite progress, issues such as data management and system integration persist. The study anticipates benefits such as enhanced safety and traffic efficiency, alongside increased adoption of autonomous vehicles. Emphasis is placed on the need for innovation, collaboration, and standardization in overcoming these challenges.
Author: Yue Wang
Institution: Shenzhen MSU-BIT University
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4405604997