Integrating Multi-Sensor Fusion, AI, and 5G Communication for Advancing Autonomous Driving and Overcoming Key Challenges
Year: 2025
Type: article
Abstract: Autonomous driving technology has evolved significantly, transitioning from early experimental stages to a central pillar of future transportation systems. Initially driven by advancements in computer vision and robotics, autonomous vehicles (AVs) are now on the brink of revolutionizing urban mobility, enhancing road safety, and improving traffic efficiency through the integration of sophisticated AI, multi-sensor fusion, and advanced communication networks. This paper explores the development and key components of autonomous driving, including multi-sensor fusion, intelligent power systems, vehicle control mechanisms, and system integration. It also highlights the transformative potential of 5G-enabled Vehicle-to-Everything (V2X) communication and AI in advancing AV performance and reliability. However, the widespread adoption of AVs faces significant challenges, including regulatory barriers, cybersecurity risks, and ethical considerations, all of which must be addressed to realize the full potential of autonomous vehicles. This paper provides a comprehensive overview of these advancements and challenges, outlining the critical factors that will influence the future trajectory of autonomous driving technology.
DOI: 10.54097/hdhjkf76
Author: Haofeng Gan
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407682385