AI-Powered Autonomous Vehicles: Advancements, Challenges, and Future Implications

Prof. Rita Kumar

Abstract


This abstract scrutinizes the remarkable advancements, multifaceted challenges, and far-reaching implications associated with AI-powered autonomous vehicles. The integration of Artificial Intelligence (AI) technologies has catapulted transportation into an era of unprecedented innovation, heralding the development of self-driving cars and revolutionizing the concept of mobility. However, this paper delves into the intricate challenges faced by autonomous vehicles, encompassing technical hurdles in sensor technology, complex decision-making algorithms, regulatory frameworks, and societal acceptance. Furthermore, it explores the broader implications of autonomous vehicles on urban planning, transportation infrastructure, and economic landscapes, envisioning a future where AI-driven transportation systems redefine mobility, safety, accessibility, and sustainability. This abstract emphasizes the imperative for collaborative efforts among stakeholders to navigate challenges, enhance safety measures, and leverage the transformative potential of AI-driven autonomous vehicles for a smarter, more efficient future in transportation.

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