Autonomous Vehicle Technology Advancements, Future Prospects and Challenges

Abstract

The development of autonomous vehicle (AV) technology represents a transformative leap in transportation engineering, integrating advancements in artificial intelligence, robotics, and vehicle-to-everything (V2X) communication. As urban centers confront mounting demands for safer, more efficient, and sustainable mobility, AVs are emerging as a pivotal solution. The introduction outlines the progression of automation across five levels, with growing industry efforts toward Levels 4 and 5 autonomy. It highlights the role of V2X communication in enabling real-time environmental awareness through vehicle interaction with infrastructure, networks, and pedestrians. The section also touches upon the engineering challenges in achieving full autonomy, including sensor fusion, system reliability, and decision-making under uncertainty. Collectively, these foundational elements set the stage for a deeper exploration of the technologies, applications, and societal implications shaping the future of autonomous transportation.

Keywords: Autonomous Vehicles (AVs), Vehicle-to-Everything (V2X) Communication, Advanced Driver Assistance Systems (ADAS), Artificial Intelligence, Sensor Fusion, Intelligent Transportation Systems (ITS), Automation Levels, LiDAR, Radar, Computer Vision, Real-Time Processing, 5G Connectivity, Infrastructure Readiness, Cybersecurity, Public Trust, Safety Validation, Smart Mobility, Sustainable Transportation, Urban Mobility, Autonomous Driving Technology